---
_id: '7202'
abstract:
- lang: eng
text: The cerebral cortex contains multiple areas with distinctive cytoarchitectonical
patterns, but the cellular mechanisms underlying the emergence of this diversity
remain unclear. Here, we have investigated the neuronal output of individual progenitor
cells in the developing mouse neocortex using a combination of methods that together
circumvent the biases and limitations of individual approaches. Our experimental
results indicate that progenitor cells generate pyramidal cell lineages with a
wide range of sizes and laminar configurations. Mathematical modelling indicates
that these outcomes are compatible with a stochastic model of cortical neurogenesis
in which progenitor cells undergo a series of probabilistic decisions that lead
to the specification of very heterogeneous progenies. Our findings support a mechanism
for cortical neurogenesis whose flexibility would make it capable to generate
the diverse cytoarchitectures that characterize distinct neocortical areas.
article_number: e51381
article_processing_charge: No
article_type: original
author:
- first_name: Alfredo
full_name: Llorca, Alfredo
last_name: Llorca
- first_name: Gabriele
full_name: Ciceri, Gabriele
last_name: Ciceri
- first_name: Robert J
full_name: Beattie, Robert J
id: 2E26DF60-F248-11E8-B48F-1D18A9856A87
last_name: Beattie
orcid: 0000-0002-8483-8753
- first_name: Fong Kuan
full_name: Wong, Fong Kuan
last_name: Wong
- first_name: Giovanni
full_name: Diana, Giovanni
last_name: Diana
- first_name: Eleni
full_name: Serafeimidou-Pouliou, Eleni
last_name: Serafeimidou-Pouliou
- first_name: Marian
full_name: Fernández-Otero, Marian
last_name: Fernández-Otero
- first_name: Carmen
full_name: Streicher, Carmen
id: 36BCB99C-F248-11E8-B48F-1D18A9856A87
last_name: Streicher
- first_name: Sebastian J.
full_name: Arnold, Sebastian J.
last_name: Arnold
- first_name: Martin
full_name: Meyer, Martin
last_name: Meyer
- first_name: Simon
full_name: Hippenmeyer, Simon
id: 37B36620-F248-11E8-B48F-1D18A9856A87
last_name: Hippenmeyer
orcid: 0000-0003-2279-1061
- first_name: Miguel
full_name: Maravall, Miguel
last_name: Maravall
- first_name: Oscar
full_name: Marín, Oscar
last_name: Marín
citation:
ama: Llorca A, Ciceri G, Beattie RJ, et al. A stochastic framework of neurogenesis
underlies the assembly of neocortical cytoarchitecture. eLife. 2019;8.
doi:10.7554/eLife.51381
apa: Llorca, A., Ciceri, G., Beattie, R. J., Wong, F. K., Diana, G., Serafeimidou-Pouliou,
E., … Marín, O. (2019). A stochastic framework of neurogenesis underlies the assembly
of neocortical cytoarchitecture. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.51381
chicago: Llorca, Alfredo, Gabriele Ciceri, Robert J Beattie, Fong Kuan Wong, Giovanni
Diana, Eleni Serafeimidou-Pouliou, Marian Fernández-Otero, et al. “A Stochastic
Framework of Neurogenesis Underlies the Assembly of Neocortical Cytoarchitecture.”
ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/eLife.51381.
ieee: A. Llorca et al., “A stochastic framework of neurogenesis underlies
the assembly of neocortical cytoarchitecture,” eLife, vol. 8. eLife Sciences
Publications, 2019.
ista: Llorca A, Ciceri G, Beattie RJ, Wong FK, Diana G, Serafeimidou-Pouliou E,
Fernández-Otero M, Streicher C, Arnold SJ, Meyer M, Hippenmeyer S, Maravall M,
Marín O. 2019. A stochastic framework of neurogenesis underlies the assembly of
neocortical cytoarchitecture. eLife. 8, e51381.
mla: Llorca, Alfredo, et al. “A Stochastic Framework of Neurogenesis Underlies the
Assembly of Neocortical Cytoarchitecture.” ELife, vol. 8, e51381, eLife
Sciences Publications, 2019, doi:10.7554/eLife.51381.
short: A. Llorca, G. Ciceri, R.J. Beattie, F.K. Wong, G. Diana, E. Serafeimidou-Pouliou,
M. Fernández-Otero, C. Streicher, S.J. Arnold, M. Meyer, S. Hippenmeyer, M. Maravall,
O. Marín, ELife 8 (2019).
date_created: 2019-12-22T23:00:42Z
date_published: 2019-11-18T00:00:00Z
date_updated: 2023-09-06T14:38:39Z
day: '18'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.7554/eLife.51381
ec_funded: 1
external_id:
isi:
- '000508156800001'
pmid:
- '31736464'
file:
- access_level: open_access
checksum: b460ecc33e1a68265e7adea775021f3a
content_type: application/pdf
creator: dernst
date_created: 2020-02-18T15:19:26Z
date_updated: 2020-07-14T12:47:53Z
file_id: '7503'
file_name: 2019_eLife_Llorca.pdf
file_size: 2960543
relation: main_file
file_date_updated: 2020-07-14T12:47:53Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 260018B0-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '725780'
name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development
- _id: 264E56E2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02416
name: Molecular Mechanisms Regulating Gliogenesis in the Cerebral Cortex
publication: eLife
publication_identifier:
eissn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: A stochastic framework of neurogenesis underlies the assembly of neocortical
cytoarchitecture
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: '2019'
...
---
_id: '7179'
abstract:
- lang: eng
text: Glutamate is the major excitatory neurotransmitter in the CNS binding to a
variety of glutamate receptors. Metabotropic glutamate receptors (mGluR1 to mGluR8)
can act excitatory or inhibitory, depending on associated signal cascades. Expression
and localization of inhibitory acting mGluRs at inner hair cells (IHCs) in the
cochlea are largely unknown. Here, we analyzed expression of mGluR2, mGluR3, mGluR4,
mGluR6, mGluR7, and mGluR8 and investigated their localization with respect to
the presynaptic ribbon of IHC synapses. We detected transcripts for mGluR2, mGluR3,
and mGluR4 as well as for mGluR7a, mGluR7b, mGluR8a, and mGluR8b splice variants.
Using receptor-specific antibodies in cochlear wholemounts, we found expression
of mGluR2, mGluR4, and mGluR8b close to presynaptic ribbons. Super resolution
and confocal microscopy in combination with 3-dimensional reconstructions indicated
a postsynaptic localization of mGluR2 that overlaps with postsynaptic density
protein 95 on dendrites of afferent type I spiral ganglion neurons. In contrast,
mGluR4 and mGluR8b were expressed at the presynapse close to IHC ribbons. In summary,
we localized in detail 3 mGluR types at IHC ribbon synapses, providing a fundament
for new therapeutical strategies that could protect the cochlea against noxious
stimuli and excitotoxicity.
article_processing_charge: No
article_type: original
author:
- first_name: Lisa
full_name: Klotz, Lisa
last_name: Klotz
- first_name: Olaf
full_name: Wendler, Olaf
last_name: Wendler
- first_name: Renato
full_name: Frischknecht, Renato
last_name: Frischknecht
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
- first_name: Holger
full_name: Schulze, Holger
last_name: Schulze
- first_name: Ralf
full_name: Enz, Ralf
last_name: Enz
citation:
ama: Klotz L, Wendler O, Frischknecht R, Shigemoto R, Schulze H, Enz R. Localization
of group II and III metabotropic glutamate receptors at pre- and postsynaptic
sites of inner hair cell ribbon synapses. FASEB Journal. 2019;33(12):13734-13746.
doi:10.1096/fj.201901543R
apa: Klotz, L., Wendler, O., Frischknecht, R., Shigemoto, R., Schulze, H., &
Enz, R. (2019). Localization of group II and III metabotropic glutamate receptors
at pre- and postsynaptic sites of inner hair cell ribbon synapses. FASEB Journal.
FASEB. https://doi.org/10.1096/fj.201901543R
chicago: Klotz, Lisa, Olaf Wendler, Renato Frischknecht, Ryuichi Shigemoto, Holger
Schulze, and Ralf Enz. “Localization of Group II and III Metabotropic Glutamate
Receptors at Pre- and Postsynaptic Sites of Inner Hair Cell Ribbon Synapses.”
FASEB Journal. FASEB, 2019. https://doi.org/10.1096/fj.201901543R.
ieee: L. Klotz, O. Wendler, R. Frischknecht, R. Shigemoto, H. Schulze, and R. Enz,
“Localization of group II and III metabotropic glutamate receptors at pre- and
postsynaptic sites of inner hair cell ribbon synapses,” FASEB Journal,
vol. 33, no. 12. FASEB, pp. 13734–13746, 2019.
ista: Klotz L, Wendler O, Frischknecht R, Shigemoto R, Schulze H, Enz R. 2019. Localization
of group II and III metabotropic glutamate receptors at pre- and postsynaptic
sites of inner hair cell ribbon synapses. FASEB Journal. 33(12), 13734–13746.
mla: Klotz, Lisa, et al. “Localization of Group II and III Metabotropic Glutamate
Receptors at Pre- and Postsynaptic Sites of Inner Hair Cell Ribbon Synapses.”
FASEB Journal, vol. 33, no. 12, FASEB, 2019, pp. 13734–46, doi:10.1096/fj.201901543R.
short: L. Klotz, O. Wendler, R. Frischknecht, R. Shigemoto, H. Schulze, R. Enz,
FASEB Journal 33 (2019) 13734–13746.
date_created: 2019-12-15T23:00:42Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:34:36Z
day: '01'
ddc:
- '571'
- '599'
department:
- _id: RySh
doi: 10.1096/fj.201901543R
external_id:
isi:
- '000507466100054'
pmid:
- '31585509'
file:
- access_level: open_access
checksum: 79e3b72481dc32489911121cf3b7d8d0
content_type: application/pdf
creator: shigemot
date_created: 2020-12-06T17:30:09Z
date_updated: 2020-12-06T17:30:09Z
file_id: '8922'
file_name: Klotz et al 2019 EMBO Reports.pdf
file_size: 4766789
relation: main_file
success: 1
file_date_updated: 2020-12-06T17:30:09Z
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Submitted Version
page: 13734-13746
pmid: 1
publication: FASEB Journal
publication_identifier:
eissn:
- '15306860'
publication_status: published
publisher: FASEB
quality_controlled: '1'
scopus_import: '1'
status: public
title: Localization of group II and III metabotropic glutamate receptors at pre- and
postsynaptic sites of inner hair cell ribbon synapses
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 33
year: '2019'
...
---
_id: '7201'
abstract:
- lang: eng
text: Applying machine learning techniques to the quickly growing data in science
and industry requires highly-scalable algorithms. Large datasets are most commonly
processed "data parallel" distributed across many nodes. Each node's contribution
to the overall gradient is summed using a global allreduce. This allreduce is
the single communication and thus scalability bottleneck for most machine learning
workloads. We observe that frequently, many gradient values are (close to) zero,
leading to sparse of sparsifyable communications. To exploit this insight, we
analyze, design, and implement a set of communication-efficient protocols for
sparse input data, in conjunction with efficient machine learning algorithms which
can leverage these primitives. Our communication protocols generalize standard
collective operations, by allowing processes to contribute arbitrary sparse input
data vectors. Our generic communication library, SparCML1, extends MPI to support
additional features, such as non-blocking (asynchronous) operations and low-precision
data representations. As such, SparCML and its techniques will form the basis
of future highly-scalable machine learning frameworks.
article_number: a11
article_processing_charge: No
author:
- first_name: Cedric
full_name: Renggli, Cedric
last_name: Renggli
- first_name: Saleh
full_name: Ashkboos, Saleh
id: 0D0A9058-257B-11EA-A937-9341C3D8BC8A
last_name: Ashkboos
- first_name: Mehdi
full_name: Aghagolzadeh, Mehdi
last_name: Aghagolzadeh
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Torsten
full_name: Hoefler, Torsten
last_name: Hoefler
citation:
ama: 'Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. SparCML: High-performance
sparse communication for machine learning. In: International Conference for
High Performance Computing, Networking, Storage and Analysis, SC. ACM; 2019.
doi:10.1145/3295500.3356222'
apa: 'Renggli, C., Ashkboos, S., Aghagolzadeh, M., Alistarh, D.-A., & Hoefler,
T. (2019). SparCML: High-performance sparse communication for machine learning.
In International Conference for High Performance Computing, Networking, Storage
and Analysis, SC. Denver, CO, Unites States: ACM. https://doi.org/10.1145/3295500.3356222'
chicago: 'Renggli, Cedric, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan-Adrian Alistarh,
and Torsten Hoefler. “SparCML: High-Performance Sparse Communication for Machine
Learning.” In International Conference for High Performance Computing, Networking,
Storage and Analysis, SC. ACM, 2019. https://doi.org/10.1145/3295500.3356222.'
ieee: 'C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, and T. Hoefler,
“SparCML: High-performance sparse communication for machine learning,” in International
Conference for High Performance Computing, Networking, Storage and Analysis, SC,
Denver, CO, Unites States, 2019.'
ista: 'Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. 2019. SparCML:
High-performance sparse communication for machine learning. International Conference
for High Performance Computing, Networking, Storage and Analysis, SC. SC: Conference
for High Performance Computing, Networking, Storage and Analysis, a11.'
mla: 'Renggli, Cedric, et al. “SparCML: High-Performance Sparse Communication for
Machine Learning.” International Conference for High Performance Computing,
Networking, Storage and Analysis, SC, a11, ACM, 2019, doi:10.1145/3295500.3356222.'
short: C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, T. Hoefler, in:,
International Conference for High Performance Computing, Networking, Storage and
Analysis, SC, ACM, 2019.
conference:
end_date: 2019-11-19
location: Denver, CO, Unites States
name: 'SC: Conference for High Performance Computing, Networking, Storage and Analysis'
start_date: 2019-11-17
date_created: 2019-12-22T23:00:42Z
date_published: 2019-11-17T00:00:00Z
date_updated: 2023-09-06T14:37:55Z
day: '17'
department:
- _id: DaAl
doi: 10.1145/3295500.3356222
ec_funded: 1
external_id:
arxiv:
- '1802.08021'
isi:
- '000545976800011'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1802.08021
month: '11'
oa: 1
oa_version: Preprint
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: International Conference for High Performance Computing, Networking,
Storage and Analysis, SC
publication_identifier:
eissn:
- '21674337'
isbn:
- '9781450362290'
issn:
- '21674329'
publication_status: published
publisher: ACM
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'SparCML: High-performance sparse communication for machine learning'
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '13067'
abstract:
- lang: eng
text: Genetic incompatibilities contribute to reproductive isolation between many
diverging populations, but it is still unclear to what extent they play a role
if divergence happens with gene flow. In contact zones between the "Crab" and
"Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong
barriers to gene flow, while the role of postzygotic barriers due to selection
against hybrids remains unclear. High embryo abortion rates in this species could
indicate the presence of such barriers. Postzygotic barriers might include genetic
incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation,
both expected to be most pronounced in contact zones. In addition, embryo abortion
might reflect physiological stress on females and embryos independent of any genetic
stress. We examined all embryos of >500 females sampled outside and inside
contact zones of three populations in Sweden. Females' clutch size ranged from
0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean
12%). We described female genotypes by using a hybrid index based on hundreds
of SNPs differentiated between ecotypes with which we characterised female genotypes.
We also calculated female SNP heterozygosity and inversion karyotype. Clutch size
did not vary with female hybrid index and abortion rates were only weakly related
to hybrid index in two sites but not at all in a third site. No additional variation
in abortion rate was explained by female SNP heterozygosity, but increased female
inversion heterozygosity added slightly to increased abortion. Our results show
only weak and probably biologically insignificant postzygotic barriers contributing
to ecotype divergence and the high and variable abortion rates were marginally,
if at all, explained by hybrid index of females.
article_processing_charge: No
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Zuzanna
full_name: Zagrodzka, Zuzanna
last_name: Zagrodzka
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
citation:
ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo
abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019.
doi:10.5061/DRYAD.TB2RBNZWK'
apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., & Butlin, R.
(2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between
Littorina ecotypes? Dryad. https://doi.org/10.5061/DRYAD.TB2RBNZWK'
chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and
Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow
between Littorina Ecotypes?” Dryad, 2019. https://doi.org/10.5061/DRYAD.TB2RBNZWK.'
ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data
from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?” Dryad, 2019.'
ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from:
Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?,
Dryad, 10.5061/DRYAD.TB2RBNZWK.'
mla: 'Johannesson, Kerstin, et al. Data from: Is Embryo Abortion a Postzygotic
Barrier to Gene Flow between Littorina Ecotypes? Dryad, 2019, doi:10.5061/DRYAD.TB2RBNZWK.'
short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019).
date_created: 2023-05-23T16:36:27Z
date_published: 2019-12-02T00:00:00Z
date_updated: 2023-09-06T14:48:57Z
day: '02'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.TB2RBNZWK
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.tb2rbnzwk
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '7205'
relation: used_in_publication
status: public
status: public
title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?'
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '7214'
abstract:
- lang: eng
text: "Background: Many cancer genomes are extensively rearranged with highly aberrant
chromosomal karyotypes. Structural and copy number variations in cancer genomes
can be determined via abnormal mapping of sequenced reads to the reference genome.
Recently it became possible to reconcile both of these types of large-scale variations
into a karyotype graph representation of the rearranged cancer genomes. Such a
representation, however, does not directly describe the linear and/or circular
structure of the underlying rearranged cancer chromosomes, thus limiting possible
analysis of cancer genomes somatic evolutionary process as well as functional
genomic changes brought by the large-scale genome rearrangements.\r\n\r\nResults:
Here we address the aforementioned limitation by introducing a novel methodological
framework for recovering rearranged cancer chromosomes from karyotype graphs.
For a cancer karyotype graph we formulate an Eulerian Decomposition Problem (EDP)
of finding a collection of linear and/or circular rearranged cancer chromosomes
that are determined by the graph. We derive and prove computational complexities
for several variations of the EDP. We then demonstrate that Eulerian decomposition
of the cancer karyotype graphs is not always unique and present the Consistent
Contig Covering Problem (CCCP) of recovering unambiguous cancer contigs from the
cancer karyotype graph, and describe a novel algorithm CCR capable of solving
CCCP in polynomial time. We apply CCR on a prostate cancer dataset and demonstrate
that it is capable of consistently recovering large cancer contigs even when underlying
cancer genomes are highly rearranged.\r\n\r\nConclusions: CCR can recover rearranged
cancer contigs from karyotype graphs thereby addressing existing limitation in
inferring chromosomal structures of rearranged cancer genomes and advancing our
understanding of both patient/cancer-specific as well as the overall genetic instability
in cancer."
article_number: '641'
article_processing_charge: No
article_type: original
author:
- first_name: Sergey
full_name: Aganezov, Sergey
last_name: Aganezov
- first_name: Ilya
full_name: Zban, Ilya
last_name: Zban
- first_name: Vitalii
full_name: Aksenov, Vitalii
id: 2980135A-F248-11E8-B48F-1D18A9856A87
last_name: Aksenov
- first_name: Nikita
full_name: Alexeev, Nikita
last_name: Alexeev
- first_name: Michael C.
full_name: Schatz, Michael C.
last_name: Schatz
citation:
ama: Aganezov S, Zban I, Aksenov V, Alexeev N, Schatz MC. Recovering rearranged
cancer chromosomes from karyotype graphs. BMC Bioinformatics. 2019;20.
doi:10.1186/s12859-019-3208-4
apa: Aganezov, S., Zban, I., Aksenov, V., Alexeev, N., & Schatz, M. C. (2019).
Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics.
BMC. https://doi.org/10.1186/s12859-019-3208-4
chicago: Aganezov, Sergey, Ilya Zban, Vitalii Aksenov, Nikita Alexeev, and Michael
C. Schatz. “Recovering Rearranged Cancer Chromosomes from Karyotype Graphs.” BMC
Bioinformatics. BMC, 2019. https://doi.org/10.1186/s12859-019-3208-4.
ieee: S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering
rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics,
vol. 20. BMC, 2019.
ista: Aganezov S, Zban I, Aksenov V, Alexeev N, Schatz MC. 2019. Recovering rearranged
cancer chromosomes from karyotype graphs. BMC Bioinformatics. 20, 641.
mla: Aganezov, Sergey, et al. “Recovering Rearranged Cancer Chromosomes from Karyotype
Graphs.” BMC Bioinformatics, vol. 20, 641, BMC, 2019, doi:10.1186/s12859-019-3208-4.
short: S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, M.C. Schatz, BMC Bioinformatics
20 (2019).
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