---
_id: '7159'
abstract:
- lang: eng
text: 'Cyber-physical systems (CPS) and the Internet-of-Things (IoT) result in a
tremendous amount of generated, measured and recorded time-series data. Extracting
temporal segments that encode patterns with useful information out of these huge
amounts of data is an extremely difficult problem. We propose shape expressions
as a declarative formalism for specifying, querying and extracting sophisticated
temporal patterns from possibly noisy data. Shape expressions are regular expressions
with arbitrary (linear, exponential, sinusoidal, etc.) shapes with parameters
as atomic predicates and additional constraints on these parameters. We equip
shape expressions with a novel noisy semantics that combines regular expression
matching semantics with statistical regression. We characterize essential properties
of the formalism and propose an efficient approximate shape expression matching
procedure. We demonstrate the wide applicability of this technique on two case
studies. '
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Dejan
full_name: Ničković, Dejan
last_name: Ničković
- first_name: Xin
full_name: Qin, Xin
last_name: Qin
- first_name: Thomas
full_name: Ferrere, Thomas
id: 40960E6E-F248-11E8-B48F-1D18A9856A87
last_name: Ferrere
orcid: 0000-0001-5199-3143
- first_name: Cristinel
full_name: Mateis, Cristinel
last_name: Mateis
- first_name: Jyotirmoy
full_name: Deshmukh, Jyotirmoy
last_name: Deshmukh
citation:
ama: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. Shape expressions for
specifying and extracting signal features. In: 19th International Conference
on Runtime Verification. Vol 11757. Springer Nature; 2019:292-309. doi:10.1007/978-3-030-32079-9_17'
apa: 'Ničković, D., Qin, X., Ferrere, T., Mateis, C., & Deshmukh, J. (2019).
Shape expressions for specifying and extracting signal features. In 19th International
Conference on Runtime Verification (Vol. 11757, pp. 292–309). Porto, Portugal:
Springer Nature. https://doi.org/10.1007/978-3-030-32079-9_17'
chicago: Ničković, Dejan, Xin Qin, Thomas Ferrere, Cristinel Mateis, and Jyotirmoy
Deshmukh. “Shape Expressions for Specifying and Extracting Signal Features.” In
19th International Conference on Runtime Verification, 11757:292–309. Springer
Nature, 2019. https://doi.org/10.1007/978-3-030-32079-9_17.
ieee: D. Ničković, X. Qin, T. Ferrere, C. Mateis, and J. Deshmukh, “Shape expressions
for specifying and extracting signal features,” in 19th International Conference
on Runtime Verification, Porto, Portugal, 2019, vol. 11757, pp. 292–309.
ista: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. 2019. Shape expressions
for specifying and extracting signal features. 19th International Conference on
Runtime Verification. RV: Runtime Verification, LNCS, vol. 11757, 292–309.'
mla: Ničković, Dejan, et al. “Shape Expressions for Specifying and Extracting Signal
Features.” 19th International Conference on Runtime Verification, vol.
11757, Springer Nature, 2019, pp. 292–309, doi:10.1007/978-3-030-32079-9_17.
short: D. Ničković, X. Qin, T. Ferrere, C. Mateis, J. Deshmukh, in:, 19th International
Conference on Runtime Verification, Springer Nature, 2019, pp. 292–309.
conference:
end_date: 2019-10-11
location: Porto, Portugal
name: 'RV: Runtime Verification'
start_date: 2019-10-08
date_created: 2019-12-09T08:47:55Z
date_published: 2019-10-01T00:00:00Z
date_updated: 2023-09-06T11:24:10Z
day: '01'
department:
- _id: ToHe
doi: 10.1007/978-3-030-32079-9_17
external_id:
isi:
- '000570006300017'
intvolume: ' 11757'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 292-309
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Rigorous Systems Engineering
publication: 19th International Conference on Runtime Verification
publication_identifier:
isbn:
- '9783030320782'
- '9783030320799'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Shape expressions for specifying and extracting signal features
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 11757
year: '2019'
...
---
_id: '7183'
abstract:
- lang: eng
text: 'A probabilistic vector addition system with states (pVASS) is a finite state
Markov process augmented with non-negative integer counters that can be incremented
or decremented during each state transition, blocking any behaviour that would
cause a counter to decrease below zero. The pVASS can be used as abstractions
of probabilistic programs with many decidable properties. The use of pVASS as
abstractions requires the presence of nondeterminism in the model. In this paper,
we develop techniques for checking fast termination of pVASS with nondeterminism.
That is, for every initial configuration of size n, we consider the worst expected
number of transitions needed to reach a configuration with some counter negative
(the expected termination time). We show that the problem whether the asymptotic
expected termination time is linear is decidable in polynomial time for a certain
natural class of pVASS with nondeterminism. Furthermore, we show the following
dichotomy: if the asymptotic expected termination time is not linear, then it
is at least quadratic, i.e., in Ω(n2).'
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Tomás
full_name: Brázdil, Tomás
last_name: Brázdil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Antonín
full_name: Kucera, Antonín
last_name: Kucera
- first_name: Petr
full_name: Novotný, Petr
id: 3CC3B868-F248-11E8-B48F-1D18A9856A87
last_name: Novotný
- first_name: Dominik
full_name: Velan, Dominik
last_name: Velan
citation:
ama: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. Deciding fast termination
for probabilistic VASS with nondeterminism. In: International Symposium on
Automated Technology for Verification and Analysis. Vol 11781. Springer Nature;
2019:462-478. doi:10.1007/978-3-030-31784-3_27'
apa: 'Brázdil, T., Chatterjee, K., Kucera, A., Novotný, P., & Velan, D. (2019).
Deciding fast termination for probabilistic VASS with nondeterminism. In International
Symposium on Automated Technology for Verification and Analysis (Vol. 11781,
pp. 462–478). Taipei, Taiwan: Springer Nature. https://doi.org/10.1007/978-3-030-31784-3_27'
chicago: Brázdil, Tomás, Krishnendu Chatterjee, Antonín Kucera, Petr Novotný, and
Dominik Velan. “Deciding Fast Termination for Probabilistic VASS with Nondeterminism.”
In International Symposium on Automated Technology for Verification and Analysis,
11781:462–78. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-31784-3_27.
ieee: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, and D. Velan, “Deciding
fast termination for probabilistic VASS with nondeterminism,” in International
Symposium on Automated Technology for Verification and Analysis, Taipei, Taiwan,
2019, vol. 11781, pp. 462–478.
ista: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. 2019. Deciding fast
termination for probabilistic VASS with nondeterminism. International Symposium
on Automated Technology for Verification and Analysis. ATVA: Automated TEchnology
for Verification and Analysis, LNCS, vol. 11781, 462–478.'
mla: Brázdil, Tomás, et al. “Deciding Fast Termination for Probabilistic VASS with
Nondeterminism.” International Symposium on Automated Technology for Verification
and Analysis, vol. 11781, Springer Nature, 2019, pp. 462–78, doi:10.1007/978-3-030-31784-3_27.
short: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, D. Velan, in:, International
Symposium on Automated Technology for Verification and Analysis, Springer Nature,
2019, pp. 462–478.
conference:
end_date: 2019-10-31
location: Taipei, Taiwan
name: 'ATVA: Automated TEchnology for Verification and Analysis'
start_date: 2019-10-28
date_created: 2019-12-15T23:00:44Z
date_published: 2019-10-21T00:00:00Z
date_updated: 2023-09-06T12:40:58Z
day: '21'
department:
- _id: KrCh
doi: 10.1007/978-3-030-31784-3_27
external_id:
arxiv:
- '1907.11010'
isi:
- '000723515700027'
intvolume: ' 11781'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1907.11010
month: '10'
oa: 1
oa_version: Preprint
page: 462-478
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
publication: International Symposium on Automated Technology for Verification and
Analysis
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030317836'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Deciding fast termination for probabilistic VASS with nondeterminism
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 11781
year: '2019'
...
---
_id: '7182'
abstract:
- lang: eng
text: During infection pathogens secrete small molecules, termed effectors, to manipulate
and control the interaction with their specific hosts. Both the pathogen and the
plant are under high selective pressure to rapidly adapt and co-evolve in what
is usually referred to as molecular arms race. Components of the host’s immune
system form a network that processes information about molecules with a foreign
origin and damage-associated signals, integrating them with developmental and
abiotic cues to adapt the plant’s responses. Both in the case of nucleotide-binding
leucine-rich repeat receptors and leucine-rich repeat receptor kinases interaction
networks have been extensively characterized. However, little is known on whether
pathogenic effectors form complexes to overcome plant immunity and promote disease.
Ustilago maydis, a biotrophic fungal pathogen that infects maize plants, produces
effectors that target hubs in the immune network of the host cell. Here we assess
the capability of U. maydis effector candidates to interact with each other, which
may play a crucial role during the infection process. Using a systematic yeast-two-hybrid
approach and based on a preliminary pooled screen, we selected 63 putative effectors
for one-on-one matings with a library of nearly 300 effector candidates. We found
that 126 of these effector candidates interacted either with themselves or other
predicted effectors. Although the functional relevance of the observed interactions
remains elusive, we propose that the observed abundance in complex formation between
effectors adds an additional level of complexity to effector research and should
be taken into consideration when studying effector evolution and function. Based
on this fundamental finding, we suggest various scenarios which could evolutionarily
drive the formation and stabilization of an effector interactome.
article_number: '1437'
article_processing_charge: No
article_type: original
author:
- first_name: André
full_name: Alcântara, André
last_name: Alcântara
- first_name: Jason
full_name: Bosch, Jason
last_name: Bosch
- first_name: Fahimeh
full_name: Nazari, Fahimeh
last_name: Nazari
- first_name: Gesa
full_name: Hoffmann, Gesa
last_name: Hoffmann
- first_name: Michelle C
full_name: Gallei, Michelle C
id: 35A03822-F248-11E8-B48F-1D18A9856A87
last_name: Gallei
orcid: 0000-0003-1286-7368
- first_name: Simon
full_name: Uhse, Simon
last_name: Uhse
- first_name: Martin A.
full_name: Darino, Martin A.
last_name: Darino
- first_name: Toluwase
full_name: Olukayode, Toluwase
last_name: Olukayode
- first_name: Daniel
full_name: Reumann, Daniel
last_name: Reumann
- first_name: Laura
full_name: Baggaley, Laura
last_name: Baggaley
- first_name: Armin
full_name: Djamei, Armin
last_name: Djamei
citation:
ama: Alcântara A, Bosch J, Nazari F, et al. Systematic Y2H screening reveals extensive
effector-complex formation. Frontiers in Plant Science. 2019;10(11). doi:10.3389/fpls.2019.01437
apa: Alcântara, A., Bosch, J., Nazari, F., Hoffmann, G., Gallei, M. C., Uhse, S.,
… Djamei, A. (2019). Systematic Y2H screening reveals extensive effector-complex
formation. Frontiers in Plant Science. Frontiers. https://doi.org/10.3389/fpls.2019.01437
chicago: Alcântara, André, Jason Bosch, Fahimeh Nazari, Gesa Hoffmann, Michelle
C Gallei, Simon Uhse, Martin A. Darino, et al. “Systematic Y2H Screening Reveals
Extensive Effector-Complex Formation.” Frontiers in Plant Science. Frontiers,
2019. https://doi.org/10.3389/fpls.2019.01437.
ieee: A. Alcântara et al., “Systematic Y2H screening reveals extensive effector-complex
formation,” Frontiers in Plant Science, vol. 10, no. 11. Frontiers, 2019.
ista: Alcântara A, Bosch J, Nazari F, Hoffmann G, Gallei MC, Uhse S, Darino MA,
Olukayode T, Reumann D, Baggaley L, Djamei A. 2019. Systematic Y2H screening reveals
extensive effector-complex formation. Frontiers in Plant Science. 10(11), 1437.
mla: Alcântara, André, et al. “Systematic Y2H Screening Reveals Extensive Effector-Complex
Formation.” Frontiers in Plant Science, vol. 10, no. 11, 1437, Frontiers,
2019, doi:10.3389/fpls.2019.01437.
short: A. Alcântara, J. Bosch, F. Nazari, G. Hoffmann, M.C. Gallei, S. Uhse, M.A.
Darino, T. Olukayode, D. Reumann, L. Baggaley, A. Djamei, Frontiers in Plant Science
10 (2019).
date_created: 2019-12-15T23:00:43Z
date_published: 2019-11-14T00:00:00Z
date_updated: 2023-09-06T14:33:46Z
day: '14'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.3389/fpls.2019.01437
external_id:
isi:
- '000499821700001'
pmid:
- '31803201'
file:
- access_level: open_access
checksum: 995aa838aec2064d93550de82b40bbd1
content_type: application/pdf
creator: dernst
date_created: 2019-12-16T07:58:43Z
date_updated: 2020-07-14T12:47:52Z
file_id: '7185'
file_name: 2019_FrontiersPlant_Alcantara.pdf
file_size: 1532505
relation: main_file
file_date_updated: 2020-07-14T12:47:52Z
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: Frontiers in Plant Science
publication_identifier:
eissn:
- 1664462X
publication_status: published
publisher: Frontiers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Systematic Y2H screening reveals extensive effector-complex formation
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: 10
year: '2019'
...
---
_id: '7180'
abstract:
- lang: eng
text: Arabidopsis PIN2 protein directs transport of the phytohormone auxin from
the root tip into the root elongation zone. Variation in hormone transport, which
depends on a delicate interplay between PIN2 sorting to and from polar plasma
membrane domains, determines root growth. By employing a constitutively degraded
version of PIN2, we identify brassinolides as antagonists of PIN2 endocytosis.
This response does not require de novo protein synthesis, but involves early events
in canonical brassinolide signaling. Brassinolide-controlled adjustments in PIN2
sorting and intracellular distribution governs formation of a lateral PIN2 gradient
in gravistimulated roots, coinciding with adjustments in auxin signaling and directional
root growth. Strikingly, simulations indicate that PIN2 gradient formation is
no prerequisite for root bending but rather dampens asymmetric auxin flow and
signaling. Crosstalk between brassinolide signaling and endocytic PIN2 sorting,
thus, appears essential for determining the rate of gravity-induced root curvature
via attenuation of differential cell elongation.
article_number: '5516'
article_processing_charge: No
article_type: original
author:
- first_name: Katarzyna
full_name: Retzer, Katarzyna
last_name: Retzer
- first_name: Maria
full_name: Akhmanova, Maria
id: 3425EC26-F248-11E8-B48F-1D18A9856A87
last_name: Akhmanova
orcid: 0000-0003-1522-3162
- first_name: Nataliia
full_name: Konstantinova, Nataliia
last_name: Konstantinova
- first_name: Kateřina
full_name: Malínská, Kateřina
last_name: Malínská
- first_name: Johannes
full_name: Leitner, Johannes
last_name: Leitner
- first_name: Jan
full_name: Petrášek, Jan
last_name: Petrášek
- first_name: Christian
full_name: Luschnig, Christian
last_name: Luschnig
citation:
ama: Retzer K, Akhmanova M, Konstantinova N, et al. Brassinosteroid signaling delimits
root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature
Communications. 2019;10. doi:10.1038/s41467-019-13543-1
apa: Retzer, K., Akhmanova, M., Konstantinova, N., Malínská, K., Leitner, J., Petrášek,
J., & Luschnig, C. (2019). Brassinosteroid signaling delimits root gravitropism
via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications.
Springer Nature. https://doi.org/10.1038/s41467-019-13543-1
chicago: Retzer, Katarzyna, Maria Akhmanova, Nataliia Konstantinova, Kateřina Malínská,
Johannes Leitner, Jan Petrášek, and Christian Luschnig. “Brassinosteroid Signaling
Delimits Root Gravitropism via Sorting of the Arabidopsis PIN2 Auxin Transporter.”
Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-13543-1.
ieee: K. Retzer et al., “Brassinosteroid signaling delimits root gravitropism
via sorting of the Arabidopsis PIN2 auxin transporter,” Nature Communications,
vol. 10. Springer Nature, 2019.
ista: Retzer K, Akhmanova M, Konstantinova N, Malínská K, Leitner J, Petrášek J,
Luschnig C. 2019. Brassinosteroid signaling delimits root gravitropism via sorting
of the Arabidopsis PIN2 auxin transporter. Nature Communications. 10, 5516.
mla: Retzer, Katarzyna, et al. “Brassinosteroid Signaling Delimits Root Gravitropism
via Sorting of the Arabidopsis PIN2 Auxin Transporter.” Nature Communications,
vol. 10, 5516, Springer Nature, 2019, doi:10.1038/s41467-019-13543-1.
short: K. Retzer, M. Akhmanova, N. Konstantinova, K. Malínská, J. Leitner, J. Petrášek,
C. Luschnig, Nature Communications 10 (2019).
date_created: 2019-12-15T23:00:43Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:08:21Z
day: '01'
ddc:
- '570'
department:
- _id: DaSi
doi: 10.1038/s41467-019-13543-1
external_id:
isi:
- '000500508100001'
pmid:
- '31797871'
file:
- access_level: open_access
checksum: 77e8720a8e0f3091b98159f85be40893
content_type: application/pdf
creator: dernst
date_created: 2019-12-16T07:37:50Z
date_updated: 2020-07-14T12:47:52Z
file_id: '7184'
file_name: 2019_NatureComm_Retzer.pdf
file_size: 5156533
relation: main_file
file_date_updated: 2020-07-14T12:47:52Z
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 264CBBAC-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02379
name: Modeling epithelial tissue mechanics during cell invasion
publication: Nature Communications
publication_identifier:
eissn:
- '20411723'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis
PIN2 auxin transporter
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: 10
year: '2019'
...
---
_id: '7181'
abstract:
- lang: eng
text: Multiple sequence alignments (MSAs) are used for structural1,2 and evolutionary
predictions1,2, but the complexity of aligning large datasets requires the use
of approximate solutions3, including the progressive algorithm4. Progressive MSA
methods start by aligning the most similar sequences and subsequently incorporate
the remaining sequences, from leaf-to-root, based on a guide-tree. Their accuracy
declines substantially as the number of sequences is scaled up5. We introduce
a regressive algorithm that enables MSA of up to 1.4 million sequences on a standard
workstation and substantially improves accuracy on datasets larger than 10,000
sequences. Our regressive algorithm works the other way around to the progressive
algorithm and begins by aligning the most dissimilar sequences. It uses an efficient
divide-and-conquer strategy to run third-party alignment methods in linear time,
regardless of their original complexity. Our approach will enable analyses of
extremely large genomic datasets such as the recently announced Earth BioGenome
Project, which comprises 1.5 million eukaryotic genomes6.
article_processing_charge: No
article_type: original
author:
- first_name: Edgar
full_name: Garriga, Edgar
last_name: Garriga
- first_name: Paolo
full_name: Di Tommaso, Paolo
last_name: Di Tommaso
- first_name: Cedrik
full_name: Magis, Cedrik
last_name: Magis
- first_name: Ionas
full_name: Erb, Ionas
last_name: Erb
- first_name: Leila
full_name: Mansouri, Leila
last_name: Mansouri
- first_name: Athanasios
full_name: Baltzis, Athanasios
last_name: Baltzis
- first_name: Hafid
full_name: Laayouni, Hafid
last_name: Laayouni
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Evan
full_name: Floden, Evan
last_name: Floden
- first_name: Cedric
full_name: Notredame, Cedric
last_name: Notredame
citation:
ama: Garriga E, Di Tommaso P, Magis C, et al. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 2019;37(12):1466-1470.
doi:10.1038/s41587-019-0333-6
apa: Garriga, E., Di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A.,
… Notredame, C. (2019). Large multiple sequence alignments with a root-to-leaf
regressive method. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-019-0333-6
chicago: Garriga, Edgar, Paolo Di Tommaso, Cedrik Magis, Ionas Erb, Leila Mansouri,
Athanasios Baltzis, Hafid Laayouni, Fyodor Kondrashov, Evan Floden, and Cedric
Notredame. “Large Multiple Sequence Alignments with a Root-to-Leaf Regressive
Method.” Nature Biotechnology. Springer Nature, 2019. https://doi.org/10.1038/s41587-019-0333-6.
ieee: E. Garriga et al., “Large multiple sequence alignments with a root-to-leaf
regressive method,” Nature Biotechnology, vol. 37, no. 12. Springer Nature,
pp. 1466–1470, 2019.
ista: Garriga E, Di Tommaso P, Magis C, Erb I, Mansouri L, Baltzis A, Laayouni H,
Kondrashov F, Floden E, Notredame C. 2019. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 37(12), 1466–1470.
mla: Garriga, Edgar, et al. “Large Multiple Sequence Alignments with a Root-to-Leaf
Regressive Method.” Nature Biotechnology, vol. 37, no. 12, Springer Nature,
2019, pp. 1466–70, doi:10.1038/s41587-019-0333-6.
short: E. Garriga, P. Di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H.
Laayouni, F. Kondrashov, E. Floden, C. Notredame, Nature Biotechnology 37 (2019)
1466–1470.
date_created: 2019-12-15T23:00:43Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:32:52Z
day: '01'
department:
- _id: FyKo
doi: 10.1038/s41587-019-0333-6
ec_funded: 1
external_id:
isi:
- '000500748900021'
pmid:
- '31792410'
intvolume: ' 37'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894943/
month: '12'
oa: 1
oa_version: Submitted Version
page: 1466-1470
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: Nature Biotechnology
publication_identifier:
eissn:
- '15461696'
issn:
- '10870156'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '13059'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Large multiple sequence alignments with a root-to-leaf regressive method
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2019'
...