---
_id: '62'
abstract:
- lang: eng
text: Imaging is a dominant strategy for data collection in neuroscience, yielding
stacks of images that often scale to gigabytes of data for a single experiment.
Machine learning algorithms from computer vision can serve as a pair of virtual
eyes that tirelessly processes these images, automatically detecting and identifying
microstructures. Unlike learning methods, our Flexible Learning-free Reconstruction
of Imaged Neural volumes (FLoRIN) pipeline exploits structure-specific contextual
clues and requires no training. This approach generalizes across different modalities,
including serially-sectioned scanning electron microscopy (sSEM) of genetically
labeled and contrast enhanced processes, spectral confocal reflectance (SCoRe)
microscopy, and high-energy synchrotron X-ray microtomography (μCT) of large tissue
volumes. We deploy the FLoRIN pipeline on newly published and novel mouse datasets,
demonstrating the high biological fidelity of the pipeline’s reconstructions.
FLoRIN reconstructions are of sufficient quality for preliminary biological study,
for example examining the distribution and morphology of cells or extracting single
axons from functional data. Compared to existing supervised learning methods,
FLoRIN is one to two orders of magnitude faster and produces high-quality reconstructions
that are tolerant to noise and artifacts, as is shown qualitatively and quantitatively.
acknowledgement: 'Equipment was generously donated by the NVIDIA Corporation, and
made available by the National Science Foundation (NSF) through grant #CNS-1629914.
This research used resources of the Argonne Leadership Computing Facility, which
is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.'
article_number: '14247'
article_processing_charge: No
article_type: original
author:
- first_name: Ali
full_name: Shabazi, Ali
last_name: Shabazi
- first_name: Jeffery
full_name: Kinnison, Jeffery
last_name: Kinnison
- first_name: Rafael
full_name: Vescovi, Rafael
last_name: Vescovi
- first_name: Ming
full_name: Du, Ming
last_name: Du
- first_name: Robert
full_name: Hill, Robert
last_name: Hill
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Marc
full_name: Takeno, Marc
last_name: Takeno
- first_name: Hongkui
full_name: Zeng, Hongkui
last_name: Zeng
- first_name: Nuno
full_name: Da Costa, Nuno
last_name: Da Costa
- first_name: Jaime
full_name: Grutzendler, Jaime
last_name: Grutzendler
- first_name: Narayanan
full_name: Kasthuri, Narayanan
last_name: Kasthuri
- first_name: Walter
full_name: Scheirer, Walter
last_name: Scheirer
citation:
ama: Shabazi A, Kinnison J, Vescovi R, et al. Flexible learning-free segmentation
and reconstruction of neural volumes. Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-32628-3
apa: Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A., … Scheirer,
W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes.
Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/s41598-018-32628-3
chicago: Shabazi, Ali, Jeffery Kinnison, Rafael Vescovi, Ming Du, Robert Hill, Maximilian
A Jösch, Marc Takeno, et al. “Flexible Learning-Free Segmentation and Reconstruction
of Neural Volumes.” Scientific Reports. Nature Publishing Group, 2018.
https://doi.org/10.1038/s41598-018-32628-3.
ieee: A. Shabazi et al., “Flexible learning-free segmentation and reconstruction
of neural volumes,” Scientific Reports, vol. 8, no. 1. Nature Publishing
Group, 2018.
ista: Shabazi A, Kinnison J, Vescovi R, Du M, Hill R, Jösch MA, Takeno M, Zeng H,
Da Costa N, Grutzendler J, Kasthuri N, Scheirer W. 2018. Flexible learning-free
segmentation and reconstruction of neural volumes. Scientific Reports. 8(1), 14247.
mla: Shabazi, Ali, et al. “Flexible Learning-Free Segmentation and Reconstruction
of Neural Volumes.” Scientific Reports, vol. 8, no. 1, 14247, Nature Publishing
Group, 2018, doi:10.1038/s41598-018-32628-3.
short: A. Shabazi, J. Kinnison, R. Vescovi, M. Du, R. Hill, M.A. Jösch, M. Takeno,
H. Zeng, N. Da Costa, J. Grutzendler, N. Kasthuri, W. Scheirer, Scientific Reports
8 (2018).
date_created: 2018-12-11T11:44:25Z
date_published: 2018-09-24T00:00:00Z
date_updated: 2023-09-11T14:02:55Z
day: '24'
ddc:
- '570'
department:
- _id: MaJö
doi: 10.1038/s41598-018-32628-3
external_id:
isi:
- '000445336600015'
file:
- access_level: open_access
checksum: 1a14ae0666b82fbaa04bef110e3f6bf2
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:22:24Z
date_updated: 2020-07-14T12:47:24Z
file_id: '5699'
file_name: 2018_ScientificReports_Shahbazi.pdf
file_size: 4141645
relation: main_file
file_date_updated: 2020-07-14T12:47:24Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '7992'
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: http://doi.org/10.1038/s41598-018-36220-7
scopus_import: '1'
status: public
title: Flexible learning-free segmentation and reconstruction of neural volumes
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2018'
...
---
_id: '437'
abstract:
- lang: eng
text: Dendritic cells (DCs) are sentinels of the adaptive immune system that reside
in peripheral organs of mammals. Upon pathogen encounter, they undergo maturation
and up-regulate the chemokine receptor CCR7 that guides them along gradients of
its chemokine ligands CCL19 and 21 to the next draining lymph node. There, DCs
present peripherally acquired antigen to naïve T cells, thereby triggering adaptive
immunity.
acknowledged_ssus:
- _id: SSU
acknowledgement: "This work was supported by grants of the European Research Council
(ERC CoG 724373) and the Austrian Science Fund (FWF) to M.S. We thank the scientific
support units at IST Austria for excellent technical support.\r\nWe thank the scientific
\ support units at IST Austria for excellent technical support. "
article_processing_charge: Yes (via OA deal)
author:
- first_name: Alexander F
full_name: Leithner, Alexander F
id: 3B1B77E4-F248-11E8-B48F-1D18A9856A87
last_name: Leithner
orcid: 0000-0002-1073-744X
- first_name: Jörg
full_name: Renkawitz, Jörg
id: 3F0587C8-F248-11E8-B48F-1D18A9856A87
last_name: Renkawitz
orcid: 0000-0003-2856-3369
- first_name: Ingrid
full_name: De Vries, Ingrid
id: 4C7D837E-F248-11E8-B48F-1D18A9856A87
last_name: De Vries
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Hans
full_name: Haecker, Hans
last_name: Haecker
- first_name: Michael K
full_name: Sixt, Michael K
id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87
last_name: Sixt
orcid: 0000-0002-6620-9179
citation:
ama: Leithner AF, Renkawitz J, de Vries I, Hauschild R, Haecker H, Sixt MK. Fast
and efficient genetic engineering of hematopoietic precursor cells for the study
of dendritic cell migration. European Journal of Immunology. 2018;48(6):1074-1077.
doi:10.1002/eji.201747358
apa: Leithner, A. F., Renkawitz, J., de Vries, I., Hauschild, R., Haecker, H., &
Sixt, M. K. (2018). Fast and efficient genetic engineering of hematopoietic precursor
cells for the study of dendritic cell migration. European Journal of Immunology.
Wiley-Blackwell. https://doi.org/10.1002/eji.201747358
chicago: Leithner, Alexander F, Jörg Renkawitz, Ingrid de Vries, Robert Hauschild,
Hans Haecker, and Michael K Sixt. “Fast and Efficient Genetic Engineering of Hematopoietic
Precursor Cells for the Study of Dendritic Cell Migration.” European Journal
of Immunology. Wiley-Blackwell, 2018. https://doi.org/10.1002/eji.201747358.
ieee: A. F. Leithner, J. Renkawitz, I. de Vries, R. Hauschild, H. Haecker, and M.
K. Sixt, “Fast and efficient genetic engineering of hematopoietic precursor cells
for the study of dendritic cell migration,” European Journal of Immunology,
vol. 48, no. 6. Wiley-Blackwell, pp. 1074–1077, 2018.
ista: Leithner AF, Renkawitz J, de Vries I, Hauschild R, Haecker H, Sixt MK. 2018.
Fast and efficient genetic engineering of hematopoietic precursor cells for the
study of dendritic cell migration. European Journal of Immunology. 48(6), 1074–1077.
mla: Leithner, Alexander F., et al. “Fast and Efficient Genetic Engineering of Hematopoietic
Precursor Cells for the Study of Dendritic Cell Migration.” European Journal
of Immunology, vol. 48, no. 6, Wiley-Blackwell, 2018, pp. 1074–77, doi:10.1002/eji.201747358.
short: A.F. Leithner, J. Renkawitz, I. de Vries, R. Hauschild, H. Haecker, M.K.
Sixt, European Journal of Immunology 48 (2018) 1074–1077.
date_created: 2018-12-11T11:46:28Z
date_published: 2018-02-13T00:00:00Z
date_updated: 2023-09-11T14:01:18Z
day: '13'
ddc:
- '570'
department:
- _id: MiSi
- _id: Bio
doi: 10.1002/eji.201747358
ec_funded: 1
external_id:
isi:
- '000434963700016'
file:
- access_level: open_access
checksum: 9d5b74cd016505aeb9a4c2d33bbedaeb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:56Z
date_updated: 2020-07-14T12:46:27Z
file_id: '5044'
file_name: IST-2018-1067-v1+2_Leithner_et_al-2018-European_Journal_of_Immunology.pdf
file_size: 590106
relation: main_file
file_date_updated: 2020-07-14T12:46:27Z
has_accepted_license: '1'
intvolume: ' 48'
isi: 1
issue: '6'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '02'
oa: 1
oa_version: Published Version
page: 1074 - 1077
project:
- _id: 25FE9508-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '724373'
name: Cellular navigation along spatial gradients
publication: European Journal of Immunology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '7386'
pubrep_id: '1067'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fast and efficient genetic engineering of hematopoietic precursor cells for
the study of dendritic cell migration
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 48
year: '2018'
...
---
_id: '617'
abstract:
- lang: eng
text: Insects are exposed to a variety of potential pathogens in their environment,
many of which can severely impact fitness and health. Consequently, hosts have
evolved resistance and tolerance strategies to suppress or cope with infections.
Hosts utilizing resistance improve fitness by clearing or reducing pathogen loads,
and hosts utilizing tolerance reduce harmful fitness effects per pathogen load.
To understand variation in, and selective pressures on, resistance and tolerance,
we asked to what degree they are shaped by host genetic background, whether plasticity
in these responses depends upon dietary environment, and whether there are interactions
between these two factors. Females from ten wild-type Drosophila melanogaster
genotypes were kept on high- or low-protein (yeast) diets and infected with one
of two opportunistic bacterial pathogens, Lactococcus lactis or Pseudomonas entomophila.
We measured host resistance as the inverse of bacterial load in the early infection
phase. The relationship (slope) between fly fecundity and individual-level bacteria
load provided our fecundity tolerance measure. Genotype and dietary yeast determined
host fecundity and strongly affected survival after infection with pathogenic
P. entomophila. There was considerable genetic variation in host resistance, a
commonly found phenomenon resulting from for example varying resistance costs
or frequency-dependent selection. Despite this variation and the reproductive
cost of higher P. entomophila loads, fecundity tolerance did not vary across genotypes.
The absence of genetic variation in tolerance may suggest that at this early infection
stage, fecundity tolerance is fixed or that any evolved tolerance mechanisms are
not expressed under these infection conditions.
acknowledgement: 'We would like to thank Susann Wicke for performing the genome-wide
SNP/indel analyses, as well as Veronica Alves, Kevin Ferro, Momir Futo, Barbara
Hasert, Dafne Maximo, Nora Schulz, Marlene Sroka, and Barth Wieczorek for technical
help. We thank Brian Lazzaro for the L. lactis strain and Bruno Lemaitre for the
Pseudomonas entomophila strain. We would like to thank two anonymous reviewers for
their helpful comments. We are grateful to the Deutsche Forschungsgemeinschaft (DFG)
priority programme 1399 ‘Host parasite coevolution’ for funding this project (AR
872/1-1). '
article_processing_charge: No
article_type: original
author:
- first_name: Megan
full_name: Kutzer, Megan
id: 29D0B332-F248-11E8-B48F-1D18A9856A87
last_name: Kutzer
orcid: 0000-0002-8696-6978
- first_name: Joachim
full_name: Kurtz, Joachim
last_name: Kurtz
- first_name: Sophie
full_name: Armitage, Sophie
last_name: Armitage
citation:
ama: Kutzer M, Kurtz J, Armitage S. Genotype and diet affect resistance, survival,
and fecundity but not fecundity tolerance. Journal of Evolutionary Biology.
2018;31(1):159-171. doi:10.1111/jeb.13211
apa: Kutzer, M., Kurtz, J., & Armitage, S. (2018). Genotype and diet affect
resistance, survival, and fecundity but not fecundity tolerance. Journal of
Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13211
chicago: Kutzer, Megan, Joachim Kurtz, and Sophie Armitage. “Genotype and Diet Affect
Resistance, Survival, and Fecundity but Not Fecundity Tolerance.” Journal of
Evolutionary Biology. Wiley, 2018. https://doi.org/10.1111/jeb.13211.
ieee: M. Kutzer, J. Kurtz, and S. Armitage, “Genotype and diet affect resistance,
survival, and fecundity but not fecundity tolerance,” Journal of Evolutionary
Biology, vol. 31, no. 1. Wiley, pp. 159–171, 2018.
ista: Kutzer M, Kurtz J, Armitage S. 2018. Genotype and diet affect resistance,
survival, and fecundity but not fecundity tolerance. Journal of Evolutionary Biology.
31(1), 159–171.
mla: Kutzer, Megan, et al. “Genotype and Diet Affect Resistance, Survival, and Fecundity
but Not Fecundity Tolerance.” Journal of Evolutionary Biology, vol. 31,
no. 1, Wiley, 2018, pp. 159–71, doi:10.1111/jeb.13211.
short: M. Kutzer, J. Kurtz, S. Armitage, Journal of Evolutionary Biology 31 (2018)
159–171.
date_created: 2018-12-11T11:47:31Z
date_published: 2018-01-01T00:00:00Z
date_updated: 2023-09-11T14:06:04Z
day: '01'
department:
- _id: SyCr
doi: 10.1111/jeb.13211
external_id:
isi:
- '000419307000014'
pmid:
- '29150962'
intvolume: ' 31'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1111/jeb.13211
month: '01'
oa: 1
oa_version: Published Version
page: 159 - 171
pmid: 1
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- 1420-9101
issn:
- 1010-061X
publication_status: published
publisher: Wiley
publist_id: '7187'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Genotype and diet affect resistance, survival, and fecundity but not fecundity
tolerance
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 31
year: '2018'
...
---
_id: '5888'
abstract:
- lang: eng
text: "Despite the remarkable number of scientific breakthroughs of the last 100
years, the treatment of neurodevelopmental\r\ndisorders (e.g., autism spectrum
disorder, intellectual disability) remains a great challenge. Recent advancements
in\r\ngenomics, such as whole-exome or whole-genome sequencing, have enabled scientists
to identify numerous\r\nmutations underlying neurodevelopmental disorders. Given
the few hundred risk genes that have been discovered,\r\nthe etiological variability
and the heterogeneous clinical presentation, the need for genotype — along with
phenotype-\r\nbased diagnosis of individual patients has become a requisite. In
this review we look at recent advancements in\r\ngenomic analysis and their translation
into clinical practice."
article_number: '100'
article_processing_charge: No
author:
- first_name: Dora-Clara
full_name: Tarlungeanu, Dora-Clara
id: 2ABCE612-F248-11E8-B48F-1D18A9856A87
last_name: Tarlungeanu
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
citation:
ama: 'Tarlungeanu D-C, Novarino G. Genomics in neurodevelopmental disorders: an
avenue to personalized medicine. Experimental & Molecular Medicine.
2018;50(8). doi:10.1038/s12276-018-0129-7'
apa: 'Tarlungeanu, D.-C., & Novarino, G. (2018). Genomics in neurodevelopmental
disorders: an avenue to personalized medicine. Experimental & Molecular
Medicine. Springer Nature. https://doi.org/10.1038/s12276-018-0129-7'
chicago: 'Tarlungeanu, Dora-Clara, and Gaia Novarino. “Genomics in Neurodevelopmental
Disorders: An Avenue to Personalized Medicine.” Experimental & Molecular
Medicine. Springer Nature, 2018. https://doi.org/10.1038/s12276-018-0129-7.'
ieee: 'D.-C. Tarlungeanu and G. Novarino, “Genomics in neurodevelopmental disorders:
an avenue to personalized medicine,” Experimental & Molecular Medicine,
vol. 50, no. 8. Springer Nature, 2018.'
ista: 'Tarlungeanu D-C, Novarino G. 2018. Genomics in neurodevelopmental disorders:
an avenue to personalized medicine. Experimental & Molecular Medicine. 50(8),
100.'
mla: 'Tarlungeanu, Dora-Clara, and Gaia Novarino. “Genomics in Neurodevelopmental
Disorders: An Avenue to Personalized Medicine.” Experimental & Molecular
Medicine, vol. 50, no. 8, 100, Springer Nature, 2018, doi:10.1038/s12276-018-0129-7.'
short: D.-C. Tarlungeanu, G. Novarino, Experimental & Molecular Medicine 50
(2018).
date_created: 2019-01-27T22:59:11Z
date_published: 2018-08-07T00:00:00Z
date_updated: 2023-09-11T14:04:41Z
day: '07'
ddc:
- '570'
department:
- _id: GaNo
doi: 10.1038/s12276-018-0129-7
external_id:
isi:
- '000441266700006'
pmid:
- '30089840'
file:
- access_level: open_access
checksum: 4498301c8c53097c9a1a8ef990936eb5
content_type: application/pdf
creator: dernst
date_created: 2019-01-28T15:18:02Z
date_updated: 2020-07-14T12:47:13Z
file_id: '5893'
file_name: 2018_EMM_Tarlungeanu.pdf
file_size: 1237482
relation: main_file
file_date_updated: 2020-07-14T12:47:13Z
has_accepted_license: '1'
intvolume: ' 50'
isi: 1
issue: '8'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
publication: Experimental & Molecular Medicine
publication_identifier:
issn:
- 2092-6413
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Genomics in neurodevelopmental disorders: an avenue to personalized medicine'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 50
year: '2018'
...
---
_id: '295'
abstract:
- lang: eng
text: We prove upper and lower bounds on the ground-state energy of the ideal two-dimensional
anyon gas. Our bounds are extensive in the particle number, as for fermions, and
linear in the statistics parameter (Formula presented.). The lower bounds extend
to Lieb–Thirring inequalities for all anyons except bosons.
acknowledgement: Financial support from the Swedish Research Council, grant no. 2013-4734
(D. L.), the European Research Council (ERC) under the European Union’s Horizon
2020 research and innovation programme (grant agreement No 694227, R. S.), and by
the Austrian Science Fund (FWF), project Nr. P 27533-N27 (R. S.), is gratefully
acknowledged.
article_processing_charge: No
author:
- first_name: Douglas
full_name: Lundholm, Douglas
last_name: Lundholm
- first_name: Robert
full_name: Seiringer, Robert
id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
last_name: Seiringer
orcid: 0000-0002-6781-0521
citation:
ama: Lundholm D, Seiringer R. Fermionic behavior of ideal anyons. Letters in
Mathematical Physics. 2018;108(11):2523-2541. doi:10.1007/s11005-018-1091-y
apa: Lundholm, D., & Seiringer, R. (2018). Fermionic behavior of ideal anyons.
Letters in Mathematical Physics. Springer. https://doi.org/10.1007/s11005-018-1091-y
chicago: Lundholm, Douglas, and Robert Seiringer. “Fermionic Behavior of Ideal Anyons.”
Letters in Mathematical Physics. Springer, 2018. https://doi.org/10.1007/s11005-018-1091-y.
ieee: D. Lundholm and R. Seiringer, “Fermionic behavior of ideal anyons,” Letters
in Mathematical Physics, vol. 108, no. 11. Springer, pp. 2523–2541, 2018.
ista: Lundholm D, Seiringer R. 2018. Fermionic behavior of ideal anyons. Letters
in Mathematical Physics. 108(11), 2523–2541.
mla: Lundholm, Douglas, and Robert Seiringer. “Fermionic Behavior of Ideal Anyons.”
Letters in Mathematical Physics, vol. 108, no. 11, Springer, 2018, pp.
2523–41, doi:10.1007/s11005-018-1091-y.
short: D. Lundholm, R. Seiringer, Letters in Mathematical Physics 108 (2018) 2523–2541.
date_created: 2018-12-11T11:45:40Z
date_published: 2018-05-11T00:00:00Z
date_updated: 2023-09-11T14:01:57Z
day: '11'
ddc:
- '510'
department:
- _id: RoSe
doi: 10.1007/s11005-018-1091-y
ec_funded: 1
external_id:
arxiv:
- '1712.06218'
isi:
- '000446491500008'
file:
- access_level: open_access
checksum: 8beb9632fa41bbd19452f55f31286a31
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:14:17Z
date_updated: 2020-07-14T12:45:55Z
file_id: '5698'
file_name: 2018_LettMathPhys_Lundholm.pdf
file_size: 551996
relation: main_file
file_date_updated: 2020-07-14T12:45:55Z
has_accepted_license: '1'
intvolume: ' 108'
isi: 1
issue: '11'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 2523-2541
project:
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
- _id: 25C878CE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P27533_N27
name: Structure of the Excitation Spectrum for Many-Body Quantum Systems
publication: Letters in Mathematical Physics
publication_status: published
publisher: Springer
publist_id: '7586'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fermionic behavior of ideal anyons
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 108
year: '2018'
...
---
_id: '555'
abstract:
- lang: eng
text: Conventional wisdom has it that proteins fold and assemble into definite structures,
and that this defines their function. Glycosaminoglycans (GAGs) are different.
In most cases the structures they form have a low degree of order, even when interacting
with proteins. Here, we discuss how physical features common to all GAGs — hydrophilicity,
charge, linearity and semi-flexibility — underpin the overall properties of GAG-rich
matrices. By integrating soft matter physics concepts (e.g. polymer brushes and
phase separation) with our molecular understanding of GAG–protein interactions,
we can better comprehend how GAG-rich matrices assemble, what their properties
are, and how they function. Taking perineuronal nets (PNNs) — a GAG-rich matrix
enveloping neurons — as a relevant example, we propose that microphase separation
determines the holey PNN anatomy that is pivotal to PNN functions.
acknowledgement: "This work was supported by the European Research Council [Starting
Grant 306435 ‘JELLY’; to RPR], the Spanish Ministry of Competitiveness and Innovation
[MAT2014-54867-R, to RPR], the EPSRC Centre for Doctoral Training in Tissue Engineering
and Regenerative Medicine — Innovation in Medical and Biological Engineering [EP/L014823/1,
to JCFK], the Royal Society [RG160410, to JCFK], Wings for Life [WFL-UK-008/15,
to JCFK] and the European Union, the Operational Programme Research, Development
and Education in the framework of the project ‘Centre of Reconstructive Neuroscience’
[CZ.02.1.01/0.0./0.0/15_003/0000419, to JCFK]. AJD would like to thank Arthritis
Research UK [16539, 19489] and the MRC [76445, G0900538] for funding his work on
GAG–protein interactions.\r\n"
article_processing_charge: No
article_type: original
author:
- first_name: Ralf
full_name: Richter, Ralf
last_name: Richter
- first_name: Natalia
full_name: Baranova, Natalia
id: 38661662-F248-11E8-B48F-1D18A9856A87
last_name: Baranova
orcid: 0000-0002-3086-9124
- first_name: Anthony
full_name: Day, Anthony
last_name: Day
- first_name: Jessica
full_name: Kwok, Jessica
last_name: Kwok
citation:
ama: 'Richter R, Baranova NS, Day A, Kwok J. Glycosaminoglycans in extracellular
matrix organisation: Are concepts from soft matter physics key to understanding
the formation of perineuronal nets? Current Opinion in Structural Biology.
2018;50:65-74. doi:10.1016/j.sbi.2017.12.002'
apa: 'Richter, R., Baranova, N. S., Day, A., & Kwok, J. (2018). Glycosaminoglycans
in extracellular matrix organisation: Are concepts from soft matter physics key
to understanding the formation of perineuronal nets? Current Opinion in Structural
Biology. Elsevier. https://doi.org/10.1016/j.sbi.2017.12.002'
chicago: 'Richter, Ralf, Natalia S. Baranova, Anthony Day, and Jessica Kwok. “Glycosaminoglycans
in Extracellular Matrix Organisation: Are Concepts from Soft Matter Physics Key
to Understanding the Formation of Perineuronal Nets?” Current Opinion in Structural
Biology. Elsevier, 2018. https://doi.org/10.1016/j.sbi.2017.12.002.'
ieee: 'R. Richter, N. S. Baranova, A. Day, and J. Kwok, “Glycosaminoglycans in extracellular
matrix organisation: Are concepts from soft matter physics key to understanding
the formation of perineuronal nets?,” Current Opinion in Structural Biology,
vol. 50. Elsevier, pp. 65–74, 2018.'
ista: 'Richter R, Baranova NS, Day A, Kwok J. 2018. Glycosaminoglycans in extracellular
matrix organisation: Are concepts from soft matter physics key to understanding
the formation of perineuronal nets? Current Opinion in Structural Biology. 50,
65–74.'
mla: 'Richter, Ralf, et al. “Glycosaminoglycans in Extracellular Matrix Organisation:
Are Concepts from Soft Matter Physics Key to Understanding the Formation of Perineuronal
Nets?” Current Opinion in Structural Biology, vol. 50, Elsevier, 2018,
pp. 65–74, doi:10.1016/j.sbi.2017.12.002.'
short: R. Richter, N.S. Baranova, A. Day, J. Kwok, Current Opinion in Structural
Biology 50 (2018) 65–74.
date_created: 2018-12-11T11:47:09Z
date_published: 2018-06-01T00:00:00Z
date_updated: 2023-09-11T14:07:03Z
day: '01'
department:
- _id: MaLo
doi: 10.1016/j.sbi.2017.12.002
external_id:
isi:
- '000443661300011'
intvolume: ' 50'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://eprints.whiterose.ac.uk/125524/
month: '06'
oa: 1
oa_version: Submitted Version
page: 65 - 74
publication: Current Opinion in Structural Biology
publication_status: published
publisher: Elsevier
publist_id: '7259'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Glycosaminoglycans in extracellular matrix organisation: Are concepts from
soft matter physics key to understanding the formation of perineuronal nets?'
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 50
year: '2018'
...
---
_id: '448'
abstract:
- lang: eng
text: Around 150 million years ago, eusocial termites evolved from within the cockroaches,
50 million years before eusocial Hymenoptera, such as bees and ants, appeared.
Here, we report the 2-Gb genome of the German cockroach, Blattella germanica,
and the 1.3-Gb genome of the drywood termite Cryptotermes secundus. We show evolutionary
signatures of termite eusociality by comparing the genomes and transcriptomes
of three termites and the cockroach against the background of 16 other eusocial
and non-eusocial insects. Dramatic adaptive changes in genes underlying the production
and perception of pheromones confirm the importance of chemical communication
in the termites. These are accompanied by major changes in gene regulation and
the molecular evolution of caste determination. Many of these results parallel
molecular mechanisms of eusocial evolution in Hymenoptera. However, the specific
solutions are remarkably different, thus revealing a striking case of convergence
in one of the major evolutionary transitions in biological complexity.
acknowledgement: We thank O. Niehuis for allowing use of the unpublished E. danica
genome, J. Gadau and C. Smith for comments and advice on the manuscript, and J.
Schmitz for assistance with analyses and proofreading the manuscript. J.K. thanks
Charles Darwin University (Australia), especially S. Garnett and the Horticulture
and Aquaculture team, for providing logistic support to collect C. secundus. The
Parks and Wildlife Commission, Northern Territory, the Department of the Environment,
Water, Heritage and the Arts gave permission to collect (Permit number 36401) and
export (Permit WT2010-6997) the termites. USDA is an equal opportunity provider
and employer. M.C.H. and E.J. are supported by DFG grant BO2544/11-1 to E.B.-B.
J.K. is supported by University of Osnabrück and DFG grant KO1895/16-1. X.B. and
M.-D.P. are supported by Spanish Ministerio de Economía y Competitividad (CGL2012-36251
and CGL2015-64727-P to X.B., and CGL2016-76011-R to M.-D.P.), including FEDER funds,
and by Catalan Government (2014 SGR 619). C.S. is supported by grants from the US
Department of Housing and Urban Development (NCHHU-0017-13), the National Science
Foundation (IOS-1557864), the Alfred P. Sloan Foundation (2013-5-35 MBE), the National
Institute of Environmental Health Sciences (P30ES025128) to the Center for Human
Health and the Environment, and the Blanton J. Whitmire Endowment. M.P. is supported
by a Villum Kann Rasmussen Young Investigator Fellowship (VKR10101).
article_processing_charge: No
author:
- first_name: Mark
full_name: Harrison, Mark
last_name: Harrison
- first_name: Evelien
full_name: Jongepier, Evelien
last_name: Jongepier
- first_name: Hugh
full_name: Robertson, Hugh
last_name: Robertson
- first_name: Nicolas
full_name: Arning, Nicolas
last_name: Arning
- first_name: Tristan
full_name: Bitard Feildel, Tristan
last_name: Bitard Feildel
- first_name: Hsu
full_name: Chao, Hsu
last_name: Chao
- first_name: Christopher
full_name: Childers, Christopher
last_name: Childers
- first_name: Huyen
full_name: Dinh, Huyen
last_name: Dinh
- first_name: Harshavardhan
full_name: Doddapaneni, Harshavardhan
last_name: Doddapaneni
- first_name: Shannon
full_name: Dugan, Shannon
last_name: Dugan
- first_name: Johannes
full_name: Gowin, Johannes
last_name: Gowin
- first_name: Carolin
full_name: Greiner, Carolin
last_name: Greiner
- first_name: Yi
full_name: Han, Yi
last_name: Han
- first_name: Haofu
full_name: Hu, Haofu
last_name: Hu
- first_name: Daniel
full_name: Hughes, Daniel
last_name: Hughes
- first_name: Ann K
full_name: Huylmans, Ann K
id: 4C0A3874-F248-11E8-B48F-1D18A9856A87
last_name: Huylmans
orcid: 0000-0001-8871-4961
- first_name: Karsten
full_name: Kemena, Karsten
last_name: Kemena
- first_name: Lukas
full_name: Kremer, Lukas
last_name: Kremer
- first_name: Sandra
full_name: Lee, Sandra
last_name: Lee
- first_name: Alberto
full_name: López Ezquerra, Alberto
last_name: López Ezquerra
- first_name: Ludovic
full_name: Mallet, Ludovic
last_name: Mallet
- first_name: Jose
full_name: Monroy Kuhn, Jose
last_name: Monroy Kuhn
- first_name: Annabell
full_name: Moser, Annabell
last_name: Moser
- first_name: Shwetha
full_name: Murali, Shwetha
last_name: Murali
- first_name: Donna
full_name: Muzny, Donna
last_name: Muzny
- first_name: Saria
full_name: Otani, Saria
last_name: Otani
- first_name: Maria
full_name: Piulachs, Maria
last_name: Piulachs
- first_name: Monica
full_name: Poelchau, Monica
last_name: Poelchau
- first_name: Jiaxin
full_name: Qu, Jiaxin
last_name: Qu
- first_name: Florentine
full_name: Schaub, Florentine
last_name: Schaub
- first_name: Ayako
full_name: Wada Katsumata, Ayako
last_name: Wada Katsumata
- first_name: Kim
full_name: Worley, Kim
last_name: Worley
- first_name: Qiaolin
full_name: Xie, Qiaolin
last_name: Xie
- first_name: Guillem
full_name: Ylla, Guillem
last_name: Ylla
- first_name: Michael
full_name: Poulsen, Michael
last_name: Poulsen
- first_name: Richard
full_name: Gibbs, Richard
last_name: Gibbs
- first_name: Coby
full_name: Schal, Coby
last_name: Schal
- first_name: Stephen
full_name: Richards, Stephen
last_name: Richards
- first_name: Xavier
full_name: Belles, Xavier
last_name: Belles
- first_name: Judith
full_name: Korb, Judith
last_name: Korb
- first_name: Erich
full_name: Bornberg Bauer, Erich
last_name: Bornberg Bauer
citation:
ama: Harrison M, Jongepier E, Robertson H, et al. Hemimetabolous genomes reveal
molecular basis of termite eusociality. Nature Ecology and Evolution. 2018;2(3):557-566.
doi:10.1038/s41559-017-0459-1
apa: Harrison, M., Jongepier, E., Robertson, H., Arning, N., Bitard Feildel, T.,
Chao, H., … Bornberg Bauer, E. (2018). Hemimetabolous genomes reveal molecular
basis of termite eusociality. Nature Ecology and Evolution. Springer Nature.
https://doi.org/10.1038/s41559-017-0459-1
chicago: Harrison, Mark, Evelien Jongepier, Hugh Robertson, Nicolas Arning, Tristan
Bitard Feildel, Hsu Chao, Christopher Childers, et al. “Hemimetabolous Genomes
Reveal Molecular Basis of Termite Eusociality.” Nature Ecology and Evolution.
Springer Nature, 2018. https://doi.org/10.1038/s41559-017-0459-1.
ieee: M. Harrison et al., “Hemimetabolous genomes reveal molecular basis
of termite eusociality,” Nature Ecology and Evolution, vol. 2, no. 3. Springer
Nature, pp. 557–566, 2018.
ista: Harrison M, Jongepier E, Robertson H, Arning N, Bitard Feildel T, Chao H,
Childers C, Dinh H, Doddapaneni H, Dugan S, Gowin J, Greiner C, Han Y, Hu H, Hughes
D, Huylmans AK, Kemena K, Kremer L, Lee S, López Ezquerra A, Mallet L, Monroy
Kuhn J, Moser A, Murali S, Muzny D, Otani S, Piulachs M, Poelchau M, Qu J, Schaub
F, Wada Katsumata A, Worley K, Xie Q, Ylla G, Poulsen M, Gibbs R, Schal C, Richards
S, Belles X, Korb J, Bornberg Bauer E. 2018. Hemimetabolous genomes reveal molecular
basis of termite eusociality. Nature Ecology and Evolution. 2(3), 557–566.
mla: Harrison, Mark, et al. “Hemimetabolous Genomes Reveal Molecular Basis of Termite
Eusociality.” Nature Ecology and Evolution, vol. 2, no. 3, Springer Nature,
2018, pp. 557–66, doi:10.1038/s41559-017-0459-1.
short: M. Harrison, E. Jongepier, H. Robertson, N. Arning, T. Bitard Feildel, H.
Chao, C. Childers, H. Dinh, H. Doddapaneni, S. Dugan, J. Gowin, C. Greiner, Y.
Han, H. Hu, D. Hughes, A.K. Huylmans, K. Kemena, L. Kremer, S. Lee, A. López Ezquerra,
L. Mallet, J. Monroy Kuhn, A. Moser, S. Murali, D. Muzny, S. Otani, M. Piulachs,
M. Poelchau, J. Qu, F. Schaub, A. Wada Katsumata, K. Worley, Q. Xie, G. Ylla,
M. Poulsen, R. Gibbs, C. Schal, S. Richards, X. Belles, J. Korb, E. Bornberg Bauer,
Nature Ecology and Evolution 2 (2018) 557–566.
date_created: 2018-12-11T11:46:32Z
date_published: 2018-02-05T00:00:00Z
date_updated: 2023-09-11T14:10:57Z
day: '05'
ddc:
- '576'
department:
- _id: BeVi
doi: 10.1038/s41559-017-0459-1
external_id:
isi:
- '000426559600026'
file:
- access_level: open_access
checksum: 874953136ac125e65f37971d3cabc5b7
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:08Z
date_updated: 2020-07-14T12:46:30Z
file_id: '4731'
file_name: IST-2018-969-v1+1_2018_Huylmans_Hemimetabolous_genomes.pdf
file_size: 3730583
relation: main_file
file_date_updated: 2020-07-14T12:46:30Z
has_accepted_license: '1'
intvolume: ' 2'
isi: 1
issue: '3'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 557-566
publication: Nature Ecology and Evolution
publication_status: published
publisher: Springer Nature
publist_id: '7375'
pubrep_id: '969'
quality_controlled: '1'
related_material:
record:
- id: '9841'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Hemimetabolous genomes reveal molecular basis of termite eusociality
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '723'
abstract:
- lang: eng
text: Escaping local optima is one of the major obstacles to function optimisation.
Using the metaphor of a fitness landscape, local optima correspond to hills separated
by fitness valleys that have to be overcome. We define a class of fitness valleys
of tunable difficulty by considering their length, representing the Hamming path
between the two optima and their depth, the drop in fitness. For this function
class we present a runtime comparison between stochastic search algorithms using
different search strategies. The (1+1) EA is a simple and well-studied evolutionary
algorithm that has to jump across the valley to a point of higher fitness because
it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm
and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population
genetics, are both able to cross the fitness valley by accepting worsening moves.
We show that the runtime of the (1+1) EA depends critically on the length of the
valley while the runtimes of the non-elitist algorithms depend crucially on the
depth of the valley. Moreover, we show that both SSWM and Metropolis can also
efficiently optimise a rugged function consisting of consecutive valleys.
article_processing_charge: No
author:
- first_name: Pietro
full_name: Oliveto, Pietro
last_name: Oliveto
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape
local optima in black box optimisation when non elitism outperforms elitism. Algorithmica.
2018;80(5):1604-1633. doi:10.1007/s00453-017-0369-2
apa: Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B.
(2018). How to escape local optima in black box optimisation when non elitism
outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2
chicago: Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora
Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism
Outperforms Elitism.” Algorithmica. Springer, 2018. https://doi.org/10.1007/s00453-017-0369-2.
ieee: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How
to escape local optima in black box optimisation when non elitism outperforms
elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.
ista: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to
escape local optima in black box optimisation when non elitism outperforms elitism.
Algorithmica. 80(5), 1604–1633.
mla: Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation
When Non Elitism Outperforms Elitism.” Algorithmica, vol. 80, no. 5, Springer,
2018, pp. 1604–33, doi:10.1007/s00453-017-0369-2.
short: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica
80 (2018) 1604–1633.
date_created: 2018-12-11T11:48:09Z
date_published: 2018-05-01T00:00:00Z
date_updated: 2023-09-11T14:11:35Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1007/s00453-017-0369-2
ec_funded: 1
external_id:
isi:
- '000428239300010'
file:
- access_level: open_access
checksum: 7d92f5d7be81e387edeec4f06442791c
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:14Z
date_updated: 2020-07-14T12:47:54Z
file_id: '4674'
file_name: IST-2018-1014-v1+1_2018_Paixao_Escape.pdf
file_size: 691245
relation: main_file
file_date_updated: 2020-07-14T12:47:54Z
has_accepted_license: '1'
intvolume: ' 80'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 1604 - 1633
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Algorithmica
publication_status: published
publisher: Springer
publist_id: '6957'
pubrep_id: '1014'
quality_controlled: '1'
scopus_import: '1'
status: public
title: How to escape local optima in black box optimisation when non elitism outperforms
elitism
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 80
year: '2018'
...
---
_id: '321'
abstract:
- lang: eng
text: The twelve papers in this special section focus on learning systems with shared
information for computer vision and multimedia communication analysis. In the
real world, a realistic setting for computer vision or multimedia recognition
problems is that we have some classes containing lots of training data and many
classes containing a small amount of training data. Therefore, how to use frequent
classes to help learning rare classes for which it is harder to collect the training
data is an open question. Learning with shared information is an emerging topic
in machine learning, computer vision and multimedia analysis. There are different
levels of components that can be shared during concept modeling and machine learning
stages, such as sharing generic object parts, sharing attributes, sharing transformations,
sharing regularization parameters and sharing training examples, etc. Regarding
the specific methods, multi-task learning, transfer learning and deep learning
can be seen as using different strategies to share information. These learning
with shared information methods are very effective in solving real-world large-scale
problems.
article_processing_charge: No
article_type: original
author:
- first_name: Trevor
full_name: Darrell, Trevor
last_name: Darrell
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
- first_name: Nico
full_name: Sebe, Nico
last_name: Sebe
- first_name: Ying
full_name: Wu, Ying
last_name: Wu
- first_name: Yan
full_name: Yan, Yan
last_name: Yan
citation:
ama: Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. Guest editors’ introduction to the
special section on learning with Shared information for computer vision and multimedia
analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence.
2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
apa: Darrell, T., Lampert, C., Sebe, N., Wu, Y., & Yan, Y. (2018). Guest editors’
introduction to the special section on learning with Shared information for computer
vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine
Intelligence. IEEE. https://doi.org/10.1109/TPAMI.2018.2804998
chicago: Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “Guest
Editors’ Introduction to the Special Section on Learning with Shared Information
for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern
Analysis and Machine Intelligence. IEEE, 2018. https://doi.org/10.1109/TPAMI.2018.2804998.
ieee: T. Darrell, C. Lampert, N. Sebe, Y. Wu, and Y. Yan, “Guest editors’ introduction
to the special section on learning with Shared information for computer vision
and multimedia analysis,” IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 40, no. 5. IEEE, pp. 1029–1031, 2018.
ista: Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction
to the special section on learning with Shared information for computer vision
and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence.
40(5), 1029–1031.
mla: Darrell, Trevor, et al. “Guest Editors’ Introduction to the Special Section
on Learning with Shared Information for Computer Vision and Multimedia Analysis.”
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40,
no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.
short: T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern
Analysis and Machine Intelligence 40 (2018) 1029–1031.
date_created: 2018-12-11T11:45:48Z
date_published: 2018-05-01T00:00:00Z
date_updated: 2023-09-11T14:07:54Z
day: '01'
ddc:
- '000'
department:
- _id: ChLa
doi: 10.1109/TPAMI.2018.2804998
external_id:
isi:
- '000428901200001'
file:
- access_level: open_access
checksum: b19c75da06faf3291a3ca47dfa50ef63
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T12:50:48Z
date_updated: 2020-07-14T12:46:03Z
file_id: '7835'
file_name: 2018_IEEE_Darrell.pdf
file_size: 141724
relation: main_file
file_date_updated: 2020-07-14T12:46:03Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 1029 - 1031
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_status: published
publisher: IEEE
publist_id: '7544'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Guest editors' introduction to the special section on learning with Shared
information for computer vision and multimedia analysis
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 40
year: '2018'
...
---
_id: '9841'
abstract:
- lang: eng
text: Around 150 million years ago, eusocial termites evolved from within the cockroaches,
50 million years before eusocial Hymenoptera, such as bees and ants, appeared.
Here, we report the 2-Gb genome of the German cockroach, Blattella germanica,
and the 1.3-Gb genome of the drywood termite Cryptotermes secundus. We show evolutionary
signatures of termite eusociality by comparing the genomes and transcriptomes
of three termites and the cockroach against the background of 16 other eusocial
and non-eusocial insects. Dramatic adaptive changes in genes underlying the production
and perception of pheromones confirm the importance of chemical communication
in the termites. These are accompanied by major changes in gene regulation and
the molecular evolution of caste determination. Many of these results parallel
molecular mechanisms of eusocial evolution in Hymenoptera. However, the specific
solutions are remarkably different, thus revealing a striking case of convergence
in one of the major evolutionary transitions in biological complexity.
article_processing_charge: No
author:
- first_name: Mark C.
full_name: Harrison, Mark C.
last_name: Harrison
- first_name: Evelien
full_name: Jongepier, Evelien
last_name: Jongepier
- first_name: Hugh M.
full_name: Robertson, Hugh M.
last_name: Robertson
- first_name: Nicolas
full_name: Arning, Nicolas
last_name: Arning
- first_name: Tristan
full_name: Bitard-Feildel, Tristan
last_name: Bitard-Feildel
- first_name: Hsu
full_name: Chao, Hsu
last_name: Chao
- first_name: Christopher P.
full_name: Childers, Christopher P.
last_name: Childers
- first_name: Huyen
full_name: Dinh, Huyen
last_name: Dinh
- first_name: Harshavardhan
full_name: Doddapaneni, Harshavardhan
last_name: Doddapaneni
- first_name: Shannon
full_name: Dugan, Shannon
last_name: Dugan
- first_name: Johannes
full_name: Gowin, Johannes
last_name: Gowin
- first_name: Carolin
full_name: Greiner, Carolin
last_name: Greiner
- first_name: Yi
full_name: Han, Yi
last_name: Han
- first_name: Haofu
full_name: Hu, Haofu
last_name: Hu
- first_name: Daniel S. T.
full_name: Hughes, Daniel S. T.
last_name: Hughes
- first_name: Ann K
full_name: Huylmans, Ann K
id: 4C0A3874-F248-11E8-B48F-1D18A9856A87
last_name: Huylmans
orcid: 0000-0001-8871-4961
- first_name: Carsten
full_name: Kemena, Carsten
last_name: Kemena
- first_name: Lukas P. M.
full_name: Kremer, Lukas P. M.
last_name: Kremer
- first_name: Sandra L.
full_name: Lee, Sandra L.
last_name: Lee
- first_name: Alberto
full_name: Lopez-Ezquerra, Alberto
last_name: Lopez-Ezquerra
- first_name: Ludovic
full_name: Mallet, Ludovic
last_name: Mallet
- first_name: Jose M.
full_name: Monroy-Kuhn, Jose M.
last_name: Monroy-Kuhn
- first_name: Annabell
full_name: Moser, Annabell
last_name: Moser
- first_name: Shwetha C.
full_name: Murali, Shwetha C.
last_name: Murali
- first_name: Donna M.
full_name: Muzny, Donna M.
last_name: Muzny
- first_name: Saria
full_name: Otani, Saria
last_name: Otani
- first_name: Maria-Dolors
full_name: Piulachs, Maria-Dolors
last_name: Piulachs
- first_name: Monica
full_name: Poelchau, Monica
last_name: Poelchau
- first_name: Jiaxin
full_name: Qu, Jiaxin
last_name: Qu
- first_name: Florentine
full_name: Schaub, Florentine
last_name: Schaub
- first_name: Ayako
full_name: Wada-Katsumata, Ayako
last_name: Wada-Katsumata
- first_name: Kim C.
full_name: Worley, Kim C.
last_name: Worley
- first_name: Qiaolin
full_name: Xie, Qiaolin
last_name: Xie
- first_name: Guillem
full_name: Ylla, Guillem
last_name: Ylla
- first_name: Michael
full_name: Poulsen, Michael
last_name: Poulsen
- first_name: Richard A.
full_name: Gibbs, Richard A.
last_name: Gibbs
- first_name: Coby
full_name: Schal, Coby
last_name: Schal
- first_name: Stephen
full_name: Richards, Stephen
last_name: Richards
- first_name: Xavier
full_name: Belles, Xavier
last_name: Belles
- first_name: Judith
full_name: Korb, Judith
last_name: Korb
- first_name: Erich
full_name: Bornberg-Bauer, Erich
last_name: Bornberg-Bauer
citation:
ama: 'Harrison MC, Jongepier E, Robertson HM, et al. Data from: Hemimetabolous genomes
reveal molecular basis of termite eusociality. 2018. doi:10.5061/dryad.51d4r'
apa: 'Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel,
T., Chao, H., … Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal
molecular basis of termite eusociality. Dryad. https://doi.org/10.5061/dryad.51d4r'
chicago: 'Harrison, Mark C., Evelien Jongepier, Hugh M. Robertson, Nicolas Arning,
Tristan Bitard-Feildel, Hsu Chao, Christopher P. Childers, et al. “Data from:
Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality.” Dryad,
2018. https://doi.org/10.5061/dryad.51d4r.'
ieee: 'M. C. Harrison et al., “Data from: Hemimetabolous genomes reveal molecular
basis of termite eusociality.” Dryad, 2018.'
ista: 'Harrison MC, Jongepier E, Robertson HM, Arning N, Bitard-Feildel T, Chao
H, Childers CP, Dinh H, Doddapaneni H, Dugan S, Gowin J, Greiner C, Han Y, Hu
H, Hughes DST, Huylmans AK, Kemena C, Kremer LPM, Lee SL, Lopez-Ezquerra A, Mallet
L, Monroy-Kuhn JM, Moser A, Murali SC, Muzny DM, Otani S, Piulachs M-D, Poelchau
M, Qu J, Schaub F, Wada-Katsumata A, Worley KC, Xie Q, Ylla G, Poulsen M, Gibbs
RA, Schal C, Richards S, Belles X, Korb J, Bornberg-Bauer E. 2018. Data from:
Hemimetabolous genomes reveal molecular basis of termite eusociality, Dryad, 10.5061/dryad.51d4r.'
mla: 'Harrison, Mark C., et al. Data from: Hemimetabolous Genomes Reveal Molecular
Basis of Termite Eusociality. Dryad, 2018, doi:10.5061/dryad.51d4r.'
short: M.C. Harrison, E. Jongepier, H.M. Robertson, N. Arning, T. Bitard-Feildel,
H. Chao, C.P. Childers, H. Dinh, H. Doddapaneni, S. Dugan, J. Gowin, C. Greiner,
Y. Han, H. Hu, D.S.T. Hughes, A.K. Huylmans, C. Kemena, L.P.M. Kremer, S.L. Lee,
A. Lopez-Ezquerra, L. Mallet, J.M. Monroy-Kuhn, A. Moser, S.C. Murali, D.M. Muzny,
S. Otani, M.-D. Piulachs, M. Poelchau, J. Qu, F. Schaub, A. Wada-Katsumata, K.C.
Worley, Q. Xie, G. Ylla, M. Poulsen, R.A. Gibbs, C. Schal, S. Richards, X. Belles,
J. Korb, E. Bornberg-Bauer, (2018).
date_created: 2021-08-09T13:13:48Z
date_published: 2018-12-12T00:00:00Z
date_updated: 2023-09-11T14:10:56Z
day: '12'
department:
- _id: BeVi
doi: 10.5061/dryad.51d4r
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.51d4r
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '448'
relation: used_in_publication
status: public
status: public
title: 'Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...