---
_id: '14751'
abstract:
- lang: eng
text: 'We consider zero-error communication over a two-transmitter deterministic
adversarial multiple access channel (MAC) governed by an adversary who has access
to the transmissions of both senders (hence called omniscient ) and aims to maliciously
corrupt the communication. None of the encoders, jammer and decoder is allowed
to randomize using private or public randomness. This enforces a combinatorial
nature of the problem. Our model covers a large family of channels studied in
the literature, including all deterministic discrete memoryless noisy or noiseless
MACs. In this work, given an arbitrary two-transmitter deterministic omniscient
adversarial MAC, we characterize when the capacity region: 1) has nonempty interior
(in particular, is two-dimensional); 2) consists of two line segments (in particular,
has empty interior); 3) consists of one line segment (in particular, is one-dimensional);
4) or only contains (0,0) (in particular, is zero-dimensional). This extends a
recent result by Wang et al. (201 9) from the point-to-point setting to the multiple
access setting. Indeed, our converse arguments build upon their generalized Plotkin
bound and involve delicate case analysis. One of the technical challenges is to
take care of both “joint confusability” and “marginal confusability”. In particular,
the treatment of marginal confusability does not follow from the point-to-point
results by Wang et al. Our achievability results follow from random coding with
expurgation.'
acknowledgement: "The author would like to thank Amitalok J. Budkuley and Sidharth
Jaggi for many helpful discussions at the early stage of this work. He would also
like to thank Nir Ailon, Qi Cao, and Chandra Nair for discussions on a related problem
regarding zero-error binary adder MACs.\r\nThe work of Yihan Zhang was supported
by the European Union’s Horizon 2020 Research and Innovation Programme under Grant
682203-ERC-[Inf-Speed-Tradeoff]"
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Yihan
full_name: Zhang, Yihan
id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
last_name: Zhang
orcid: 0000-0002-6465-6258
citation:
ama: Zhang Y. Zero-error communication over adversarial MACs. IEEE Transactions
on Information Theory. 2023;69(7):4093-4127. doi:10.1109/tit.2023.3257239
apa: Zhang, Y. (2023). Zero-error communication over adversarial MACs. IEEE Transactions
on Information Theory. Institute of Electrical and Electronics Engineers.
https://doi.org/10.1109/tit.2023.3257239
chicago: Zhang, Yihan. “Zero-Error Communication over Adversarial MACs.” IEEE
Transactions on Information Theory. Institute of Electrical and Electronics
Engineers, 2023. https://doi.org/10.1109/tit.2023.3257239.
ieee: Y. Zhang, “Zero-error communication over adversarial MACs,” IEEE Transactions
on Information Theory, vol. 69, no. 7. Institute of Electrical and Electronics
Engineers, pp. 4093–4127, 2023.
ista: Zhang Y. 2023. Zero-error communication over adversarial MACs. IEEE Transactions
on Information Theory. 69(7), 4093–4127.
mla: Zhang, Yihan. “Zero-Error Communication over Adversarial MACs.” IEEE Transactions
on Information Theory, vol. 69, no. 7, Institute of Electrical and Electronics
Engineers, 2023, pp. 4093–127, doi:10.1109/tit.2023.3257239.
short: Y. Zhang, IEEE Transactions on Information Theory 69 (2023) 4093–4127.
date_created: 2024-01-08T13:04:54Z
date_published: 2023-07-01T00:00:00Z
date_updated: 2024-01-09T08:45:24Z
day: '01'
department:
- _id: MaMo
doi: 10.1109/tit.2023.3257239
external_id:
arxiv:
- '2101.12426'
intvolume: ' 69'
issue: '7'
keyword:
- Computer Science Applications
- Information Systems
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2101.12426
month: '07'
oa: 1
oa_version: Preprint
page: 4093-4127
publication: IEEE Transactions on Information Theory
publication_identifier:
eissn:
- 1557-9654
issn:
- 0018-9448
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Zero-error communication over adversarial MACs
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 69
year: '2023'
...
---
_id: '14776'
abstract:
- lang: eng
text: Soluble chaperones residing in the endoplasmic reticulum (ER) play vitally
important roles in folding and quality control of newly synthesized proteins that
transiently pass through the ER en route to their final destinations. These soluble
residents of the ER are themselves endowed with an ER retrieval signal that enables
the cell to bring the escaped residents back from the Golgi. Here, by using purified
proteins, we showed that Nicotiana tabacum phytaspase, a plant aspartate-specific
protease, introduces two breaks at the C-terminus of the N. tabacum ER resident
calreticulin-3. These cleavages resulted in removal of either a dipeptide or a
hexapeptide from the C-terminus of calreticulin-3 encompassing part or all of
the ER retrieval signal. Consistently, expression of the calreticulin-3 derivative
mimicking the phytaspase cleavage product in Nicotiana benthamiana cells demonstrated
loss of the ER accumulation of the protein. Notably, upon its escape from the
ER, calreticulin-3 was further processed by an unknown protease(s) to generate
the free N-terminal (N) domain of calreticulin-3, which was ultimately secreted
into the apoplast. Our study thus identified a specific proteolytic enzyme capable
of precise detachment of the ER retrieval signal from a plant ER resident protein,
with implications for the further fate of the escaped resident.
acknowledgement: "We thank C.U.T. Hellen for critically reading the manuscript. The
MALDI MS facility and CLSM became available to us in the framework of Moscow State
University Development Programs PNG 5.13 and PNR 5.13.\r\nThis work was funded by
the Russian Science Foundation, grant numbers 19-14-00010 and 22-14-00071."
article_number: '16527'
article_processing_charge: Yes
article_type: original
author:
- first_name: Anastasiia
full_name: Teplova, Anastasiia
id: e3736151-106c-11ec-b916-c2558e2762c6
last_name: Teplova
- first_name: Artemii A.
full_name: Pigidanov, Artemii A.
last_name: Pigidanov
- first_name: Marina V.
full_name: Serebryakova, Marina V.
last_name: Serebryakova
- first_name: Sergei A.
full_name: Golyshev, Sergei A.
last_name: Golyshev
- first_name: Raisa A.
full_name: Galiullina, Raisa A.
last_name: Galiullina
- first_name: Nina V.
full_name: Chichkova, Nina V.
last_name: Chichkova
- first_name: Andrey B.
full_name: Vartapetian, Andrey B.
last_name: Vartapetian
citation:
ama: Teplova A, Pigidanov AA, Serebryakova MV, et al. Phytaspase Is capable of detaching
the endoplasmic reticulum retrieval signal from tobacco calreticulin-3. International
Journal of Molecular Sciences. 2023;24(22). doi:10.3390/ijms242216527
apa: Teplova, A., Pigidanov, A. A., Serebryakova, M. V., Golyshev, S. A., Galiullina,
R. A., Chichkova, N. V., & Vartapetian, A. B. (2023). Phytaspase Is capable
of detaching the endoplasmic reticulum retrieval signal from tobacco calreticulin-3.
International Journal of Molecular Sciences. MDPI. https://doi.org/10.3390/ijms242216527
chicago: Teplova, Anastasiia, Artemii A. Pigidanov, Marina V. Serebryakova, Sergei
A. Golyshev, Raisa A. Galiullina, Nina V. Chichkova, and Andrey B. Vartapetian.
“Phytaspase Is Capable of Detaching the Endoplasmic Reticulum Retrieval Signal
from Tobacco Calreticulin-3.” International Journal of Molecular Sciences.
MDPI, 2023. https://doi.org/10.3390/ijms242216527.
ieee: A. Teplova et al., “Phytaspase Is capable of detaching the endoplasmic
reticulum retrieval signal from tobacco calreticulin-3,” International Journal
of Molecular Sciences, vol. 24, no. 22. MDPI, 2023.
ista: Teplova A, Pigidanov AA, Serebryakova MV, Golyshev SA, Galiullina RA, Chichkova
NV, Vartapetian AB. 2023. Phytaspase Is capable of detaching the endoplasmic reticulum
retrieval signal from tobacco calreticulin-3. International Journal of Molecular
Sciences. 24(22), 16527.
mla: Teplova, Anastasiia, et al. “Phytaspase Is Capable of Detaching the Endoplasmic
Reticulum Retrieval Signal from Tobacco Calreticulin-3.” International Journal
of Molecular Sciences, vol. 24, no. 22, 16527, MDPI, 2023, doi:10.3390/ijms242216527.
short: A. Teplova, A.A. Pigidanov, M.V. Serebryakova, S.A. Golyshev, R.A. Galiullina,
N.V. Chichkova, A.B. Vartapetian, International Journal of Molecular Sciences
24 (2023).
date_created: 2024-01-10T09:24:35Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2024-01-10T13:41:10Z
day: '01'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.3390/ijms242216527
external_id:
isi:
- '001113792600001'
pmid:
- '38003717'
file:
- access_level: open_access
checksum: 4df7d206ba022b7f54eff1f0aec1659a
content_type: application/pdf
creator: dernst
date_created: 2024-01-10T13:39:42Z
date_updated: 2024-01-10T13:39:42Z
file_id: '14791'
file_name: 2023_IJMS_Teplova.pdf
file_size: 2637784
relation: main_file
success: 1
file_date_updated: 2024-01-10T13:39:42Z
has_accepted_license: '1'
intvolume: ' 24'
isi: 1
issue: '22'
keyword:
- Inorganic Chemistry
- Organic Chemistry
- Physical and Theoretical Chemistry
- Computer Science Applications
- Spectroscopy
- Molecular Biology
- General Medicine
- Catalysis
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: International Journal of Molecular Sciences
publication_identifier:
issn:
- 1422-0067
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Phytaspase Is capable of detaching the endoplasmic reticulum retrieval signal
from tobacco calreticulin-3
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2023'
...
---
_id: '11556'
abstract:
- lang: eng
text: "We revisit two basic Direct Simulation Monte Carlo Methods to model aggregation
kinetics and extend them for aggregation processes with collisional fragmentation
(shattering). We test the performance and accuracy of the extended methods and
compare their performance with efficient deterministic finite-difference method
applied to the same model. We validate the stochastic methods on the test problems
and apply them to verify the existence of oscillating regimes in the aggregation-fragmentation
kinetics recently detected in deterministic simulations. We confirm the emergence
of steady oscillations of densities in such systems and prove the stability of
the\r\noscillations with respect to fluctuations and noise."
acknowledgement: Zhores supercomputer of Skolkovo Institute of Science and Technology
[68] has been used in the present research. S.A.M. was supported by Moscow Center
for Fundamental and Applied Mathematics (the agreement with the Ministry of Education
and Science of the Russian Federation No. 075-15-2019-1624). A.I.O. acknowledges
RFBR project No. 20-31-90022. N.V.B. acknowledges the support of the Analytical
Center (subsidy agreement 000000D730321P5Q0002, Grant No. 70-2021-00145 02.11.2021).
article_number: '111439'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Aleksei
full_name: Kalinov, Aleksei
id: 44b7120e-eb97-11eb-a6c2-e1557aa81d02
last_name: Kalinov
orcid: 0000-0003-2189-3904
- first_name: A.I.
full_name: Osinskiy, A.I.
last_name: Osinskiy
- first_name: S.A.
full_name: Matveev, S.A.
last_name: Matveev
- first_name: W.
full_name: Otieno, W.
last_name: Otieno
- first_name: N.V.
full_name: Brilliantov, N.V.
last_name: Brilliantov
citation:
ama: Kalinov A, Osinskiy AI, Matveev SA, Otieno W, Brilliantov NV. Direct simulation
Monte Carlo for new regimes in aggregation-fragmentation kinetics. Journal
of Computational Physics. 2022;467. doi:10.1016/j.jcp.2022.111439
apa: Kalinov, A., Osinskiy, A. I., Matveev, S. A., Otieno, W., & Brilliantov,
N. V. (2022). Direct simulation Monte Carlo for new regimes in aggregation-fragmentation
kinetics. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2022.111439
chicago: Kalinov, Aleksei, A.I. Osinskiy, S.A. Matveev, W. Otieno, and N.V. Brilliantov.
“Direct Simulation Monte Carlo for New Regimes in Aggregation-Fragmentation Kinetics.”
Journal of Computational Physics. Elsevier, 2022. https://doi.org/10.1016/j.jcp.2022.111439.
ieee: A. Kalinov, A. I. Osinskiy, S. A. Matveev, W. Otieno, and N. V. Brilliantov,
“Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics,”
Journal of Computational Physics, vol. 467. Elsevier, 2022.
ista: Kalinov A, Osinskiy AI, Matveev SA, Otieno W, Brilliantov NV. 2022. Direct
simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics.
Journal of Computational Physics. 467, 111439.
mla: Kalinov, Aleksei, et al. “Direct Simulation Monte Carlo for New Regimes in
Aggregation-Fragmentation Kinetics.” Journal of Computational Physics,
vol. 467, 111439, Elsevier, 2022, doi:10.1016/j.jcp.2022.111439.
short: A. Kalinov, A.I. Osinskiy, S.A. Matveev, W. Otieno, N.V. Brilliantov, Journal
of Computational Physics 467 (2022).
date_created: 2022-07-11T12:19:59Z
date_published: 2022-10-15T00:00:00Z
date_updated: 2023-08-03T11:55:06Z
day: '15'
ddc:
- '518'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1016/j.jcp.2022.111439
external_id:
arxiv:
- '2103.09481'
isi:
- '000917225500013'
intvolume: ' 467'
isi: 1
keyword:
- Computer Science Applications
- Physics and Astronomy (miscellaneous)
- Applied Mathematics
- Computational Mathematics
- Modeling and Simulation
- Numerical Analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2103.09481
month: '10'
oa: 1
oa_version: Preprint
publication: Journal of Computational Physics
publication_identifier:
issn:
- 0021-9991
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: Direct simulation Monte Carlo for new regimes in aggregation-fragmentation
kinetics
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 467
year: '2022'
...
---
_id: '9311'
abstract:
- lang: eng
text: 'Partially observable Markov decision processes (POMDPs) are standard models
for dynamic systems with probabilistic and nondeterministic behaviour in uncertain
environments. We prove that in POMDPs with long-run average objective, the decision
maker has approximately optimal strategies with finite memory. This implies notably
that approximating the long-run value is recursively enumerable, as well as a
weak continuity property of the value with respect to the transition function. '
acknowledgement: "Partially supported by Austrian Science Fund (FWF) NFN Grant No
RiSE/SHiNE S11407, by CONICYT Chile through grant PII 20150140, and by ECOS-CONICYT
through grant C15E03.\r\n"
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
- first_name: Bruno
full_name: Ziliotto, Bruno
last_name: Ziliotto
citation:
ama: Chatterjee K, Saona Urmeneta RJ, Ziliotto B. Finite-memory strategies in POMDPs
with long-run average objectives. Mathematics of Operations Research. 2022;47(1):100-119.
doi:10.1287/moor.2020.1116
apa: Chatterjee, K., Saona Urmeneta, R. J., & Ziliotto, B. (2022). Finite-memory
strategies in POMDPs with long-run average objectives. Mathematics of Operations
Research. Institute for Operations Research and the Management Sciences. https://doi.org/10.1287/moor.2020.1116
chicago: Chatterjee, Krishnendu, Raimundo J Saona Urmeneta, and Bruno Ziliotto.
“Finite-Memory Strategies in POMDPs with Long-Run Average Objectives.” Mathematics
of Operations Research. Institute for Operations Research and the Management
Sciences, 2022. https://doi.org/10.1287/moor.2020.1116.
ieee: K. Chatterjee, R. J. Saona Urmeneta, and B. Ziliotto, “Finite-memory strategies
in POMDPs with long-run average objectives,” Mathematics of Operations Research,
vol. 47, no. 1. Institute for Operations Research and the Management Sciences,
pp. 100–119, 2022.
ista: Chatterjee K, Saona Urmeneta RJ, Ziliotto B. 2022. Finite-memory strategies
in POMDPs with long-run average objectives. Mathematics of Operations Research.
47(1), 100–119.
mla: Chatterjee, Krishnendu, et al. “Finite-Memory Strategies in POMDPs with Long-Run
Average Objectives.” Mathematics of Operations Research, vol. 47, no. 1,
Institute for Operations Research and the Management Sciences, 2022, pp. 100–19,
doi:10.1287/moor.2020.1116.
short: K. Chatterjee, R.J. Saona Urmeneta, B. Ziliotto, Mathematics of Operations
Research 47 (2022) 100–119.
date_created: 2021-04-08T09:33:31Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2023-09-05T13:16:11Z
day: '01'
department:
- _id: GradSch
- _id: KrCh
doi: 10.1287/moor.2020.1116
external_id:
arxiv:
- '1904.13360'
isi:
- '000731918100001'
intvolume: ' 47'
isi: 1
issue: '1'
keyword:
- Management Science and Operations Research
- General Mathematics
- Computer Science Applications
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1904.13360
month: '02'
oa: 1
oa_version: Preprint
page: 100-119
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Mathematics of Operations Research
publication_identifier:
eissn:
- 1526-5471
issn:
- 0364-765X
publication_status: published
publisher: Institute for Operations Research and the Management Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Finite-memory strategies in POMDPs with long-run average objectives
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 47
year: '2022'
...
---
_id: '12134'
abstract:
- lang: eng
text: Standard epidemic models exhibit one continuous, second order phase transition
to macroscopic outbreaks. However, interventions to control outbreaks may fundamentally
alter epidemic dynamics. Here we reveal how such interventions modify the type
of phase transition. In particular, we uncover three distinct types of explosive
phase transitions for epidemic dynamics with capacity-limited interventions. Depending
on the capacity limit, interventions may (i) leave the standard second order phase
transition unchanged but exponentially suppress the probability of large outbreaks,
(ii) induce a first-order discontinuous transition to macroscopic outbreaks, or
(iii) cause a secondary explosive yet continuous third-order transition. These
insights highlight inherent limitations in predicting and containing epidemic
outbreaks. More generally our study offers a cornerstone example of a third-order
explosive phase transition in complex systems.
acknowledgement: We acknowledge support from the Volkswagen Foundation under Grant
No. 99720 and the German Federal Ministry for Education and Research (BMBF) under
Grant No. 16ICR01. This research was supported by the Deutsche Forschungsgemeinschaft
(DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC-2068—390729961—Cluster
of Excellence Physics of Life of TU Dresden.
article_number: 04LT02
article_processing_charge: No
article_type: original
author:
- first_name: Georg
full_name: Börner, Georg
last_name: Börner
- first_name: Malte
full_name: Schröder, Malte
last_name: Schröder
- first_name: Davide
full_name: Scarselli, Davide
id: 40315C30-F248-11E8-B48F-1D18A9856A87
last_name: Scarselli
orcid: 0000-0001-5227-4271
- first_name: Nazmi B
full_name: Budanur, Nazmi B
id: 3EA1010E-F248-11E8-B48F-1D18A9856A87
last_name: Budanur
orcid: 0000-0003-0423-5010
- first_name: Björn
full_name: Hof, Björn
id: 3A374330-F248-11E8-B48F-1D18A9856A87
last_name: Hof
orcid: 0000-0003-2057-2754
- first_name: Marc
full_name: Timme, Marc
last_name: Timme
citation:
ama: 'Börner G, Schröder M, Scarselli D, Budanur NB, Hof B, Timme M. Explosive transitions
in epidemic dynamics. Journal of Physics: Complexity. 2022;3(4). doi:10.1088/2632-072x/ac99cd'
apa: 'Börner, G., Schröder, M., Scarselli, D., Budanur, N. B., Hof, B., & Timme,
M. (2022). Explosive transitions in epidemic dynamics. Journal of Physics:
Complexity. IOP Publishing. https://doi.org/10.1088/2632-072x/ac99cd'
chicago: 'Börner, Georg, Malte Schröder, Davide Scarselli, Nazmi B Budanur, Björn
Hof, and Marc Timme. “Explosive Transitions in Epidemic Dynamics.” Journal
of Physics: Complexity. IOP Publishing, 2022. https://doi.org/10.1088/2632-072x/ac99cd.'
ieee: 'G. Börner, M. Schröder, D. Scarselli, N. B. Budanur, B. Hof, and M. Timme,
“Explosive transitions in epidemic dynamics,” Journal of Physics: Complexity,
vol. 3, no. 4. IOP Publishing, 2022.'
ista: 'Börner G, Schröder M, Scarselli D, Budanur NB, Hof B, Timme M. 2022. Explosive
transitions in epidemic dynamics. Journal of Physics: Complexity. 3(4), 04LT02.'
mla: 'Börner, Georg, et al. “Explosive Transitions in Epidemic Dynamics.” Journal
of Physics: Complexity, vol. 3, no. 4, 04LT02, IOP Publishing, 2022, doi:10.1088/2632-072x/ac99cd.'
short: 'G. Börner, M. Schröder, D. Scarselli, N.B. Budanur, B. Hof, M. Timme, Journal
of Physics: Complexity 3 (2022).'
date_created: 2023-01-12T12:03:43Z
date_published: 2022-10-25T00:00:00Z
date_updated: 2023-02-13T09:15:13Z
day: '25'
ddc:
- '530'
department:
- _id: BjHo
doi: 10.1088/2632-072x/ac99cd
file:
- access_level: open_access
checksum: 35c5c5cb0eb17ea1b5184755daab9fc9
content_type: application/pdf
creator: dernst
date_created: 2023-01-24T07:24:37Z
date_updated: 2023-01-24T07:24:37Z
file_id: '12350'
file_name: 2022_JourPhysics_Boerner.pdf
file_size: 1006106
relation: main_file
success: 1
file_date_updated: 2023-01-24T07:24:37Z
has_accepted_license: '1'
intvolume: ' 3'
issue: '4'
keyword:
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
publication: 'Journal of Physics: Complexity'
publication_identifier:
issn:
- 2632-072X
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Explosive transitions in epidemic dynamics
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2022'
...
---
_id: '12156'
abstract:
- lang: eng
text: Models of transcriptional regulation that assume equilibrium binding of transcription
factors have been less successful at predicting gene expression from sequence
in eukaryotes than in bacteria. This could be due to the non-equilibrium nature
of eukaryotic regulation. Unfortunately, the space of possible non-equilibrium
mechanisms is vast and predominantly uninteresting. The key question is therefore
how this space can be navigated efficiently, to focus on mechanisms and models
that are biologically relevant. In this review, we advocate for the normative
role of theory—theory that prescribes rather than just describes—in providing
such a focus. Theory should expand its remit beyond inferring mechanistic models
from data, towards identifying non-equilibrium gene regulatory schemes that may
have been evolutionarily selected, despite their energy consumption, because they
are precise, reliable, fast, or otherwise outperform regulation at equilibrium.
We illustrate our reasoning by toy examples for which we provide simulation code.
acknowledgement: 'This work was supported through the Center for the Physics of Biological
Function (PHYe1734030) and by National Institutes of Health Grants R01GM097275 and
U01DK127429 (TG). GT acknowledges the support of the Austrian Science Fund grant
FWF P28844 and the Human Frontiers Science Program. '
article_number: '100435'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Benjamin
full_name: Zoller, Benjamin
last_name: Zoller
- first_name: Thomas
full_name: Gregor, Thomas
last_name: Gregor
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: '1'
citation:
ama: Zoller B, Gregor T, Tkačik G. Eukaryotic gene regulation at equilibrium, or
non? Current Opinion in Systems Biology. 2022;31(9). doi:10.1016/j.coisb.2022.100435
apa: Zoller, B., Gregor, T., & Tkačik, G. (2022). Eukaryotic gene regulation
at equilibrium, or non? Current Opinion in Systems Biology. Elsevier. https://doi.org/10.1016/j.coisb.2022.100435
chicago: Zoller, Benjamin, Thomas Gregor, and Gašper Tkačik. “Eukaryotic Gene Regulation
at Equilibrium, or Non?” Current Opinion in Systems Biology. Elsevier,
2022. https://doi.org/10.1016/j.coisb.2022.100435.
ieee: B. Zoller, T. Gregor, and G. Tkačik, “Eukaryotic gene regulation at equilibrium,
or non?,” Current Opinion in Systems Biology, vol. 31, no. 9. Elsevier,
2022.
ista: Zoller B, Gregor T, Tkačik G. 2022. Eukaryotic gene regulation at equilibrium,
or non? Current Opinion in Systems Biology. 31(9), 100435.
mla: Zoller, Benjamin, et al. “Eukaryotic Gene Regulation at Equilibrium, or Non?”
Current Opinion in Systems Biology, vol. 31, no. 9, 100435, Elsevier, 2022,
doi:10.1016/j.coisb.2022.100435.
short: B. Zoller, T. Gregor, G. Tkačik, Current Opinion in Systems Biology 31 (2022).
date_created: 2023-01-12T12:08:51Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2023-02-13T09:20:34Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1016/j.coisb.2022.100435
file:
- access_level: open_access
checksum: 97ef01e0cc60cdc84f45640a0f248fb0
content_type: application/pdf
creator: dernst
date_created: 2023-01-24T12:14:10Z
date_updated: 2023-01-24T12:14:10Z
file_id: '12362'
file_name: 2022_CurrentBiology_Zoller.pdf
file_size: 2214944
relation: main_file
success: 1
file_date_updated: 2023-01-24T12:14:10Z
has_accepted_license: '1'
intvolume: ' 31'
issue: '9'
keyword:
- Applied Mathematics
- Computer Science Applications
- Drug Discovery
- General Biochemistry
- Genetics and Molecular Biology
- Modeling and Simulation
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Current Opinion in Systems Biology
publication_identifier:
issn:
- 2452-3100
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Eukaryotic gene regulation at equilibrium, or non?
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2022'
...
---
_id: '14125'
abstract:
- lang: eng
text: "Motivation: Recent technological advances have led to an increase in the
production and availability of single-cell data. The ability to integrate a set
of multi-technology measurements would allow the identification of biologically
or clinically meaningful observations through the unification of the perspectives
afforded by each technology. In most cases, however, profiling technologies consume
the used cells and thus pairwise correspondences between datasets are lost. Due
to the sheer size single-cell datasets can acquire, scalable algorithms that are
able to universally match single-cell measurements carried out in one cell to
its corresponding sibling in another technology are needed.\r\nResults: We propose
Single-Cell data Integration via Matching (SCIM), a scalable approach to recover
such correspondences in two or more technologies. SCIM assumes that cells share
a common (low-dimensional) underlying structure and that the underlying cell distribution
is approximately constant across technologies. It constructs a technology-invariant
latent space using an autoencoder framework with an adversarial objective. Multi-modal
datasets are integrated by pairing cells across technologies using a bipartite
matching scheme that operates on the low-dimensional latent representations. We
evaluate SCIM on a simulated cellular branching process and show that the cell-to-cell
matches derived by SCIM reflect the same pseudotime on the simulated dataset.
Moreover, we apply our method to two real-world scenarios, a melanoma tumor sample
and a human bone marrow sample, where we pair cells from a scRNA dataset to their
sibling cells in a CyTOF dataset achieving 90% and 78% cell-matching accuracy
for each one of the samples, respectively."
article_processing_charge: No
article_type: original
author:
- first_name: Stefan G
full_name: Stark, Stefan G
last_name: Stark
- first_name: Joanna
full_name: Ficek, Joanna
last_name: Ficek
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Ximena
full_name: Bonilla, Ximena
last_name: Bonilla
- first_name: Stéphane
full_name: Chevrier, Stéphane
last_name: Chevrier
- first_name: Franziska
full_name: Singer, Franziska
last_name: Singer
- first_name: Rudolf
full_name: Aebersold, Rudolf
last_name: Aebersold
- first_name: Faisal S
full_name: Al-Quaddoomi, Faisal S
last_name: Al-Quaddoomi
- first_name: Jonas
full_name: Albinus, Jonas
last_name: Albinus
- first_name: Ilaria
full_name: Alborelli, Ilaria
last_name: Alborelli
- first_name: Sonali
full_name: Andani, Sonali
last_name: Andani
- first_name: Per-Olof
full_name: Attinger, Per-Olof
last_name: Attinger
- first_name: Marina
full_name: Bacac, Marina
last_name: Bacac
- first_name: Daniel
full_name: Baumhoer, Daniel
last_name: Baumhoer
- first_name: Beatrice
full_name: Beck-Schimmer, Beatrice
last_name: Beck-Schimmer
- first_name: Niko
full_name: Beerenwinkel, Niko
last_name: Beerenwinkel
- first_name: Christian
full_name: Beisel, Christian
last_name: Beisel
- first_name: Lara
full_name: Bernasconi, Lara
last_name: Bernasconi
- first_name: Anne
full_name: Bertolini, Anne
last_name: Bertolini
- first_name: Bernd
full_name: Bodenmiller, Bernd
last_name: Bodenmiller
- first_name: Ximena
full_name: Bonilla, Ximena
last_name: Bonilla
- first_name: Ruben
full_name: Casanova, Ruben
last_name: Casanova
- first_name: Stéphane
full_name: Chevrier, Stéphane
last_name: Chevrier
- first_name: Natalia
full_name: Chicherova, Natalia
last_name: Chicherova
- first_name: Maya
full_name: D'Costa, Maya
last_name: D'Costa
- first_name: Esther
full_name: Danenberg, Esther
last_name: Danenberg
- first_name: Natalie
full_name: Davidson, Natalie
last_name: Davidson
- first_name: Monica-Andreea Dră
full_name: gan, Monica-Andreea Dră
last_name: gan
- first_name: Reinhard
full_name: Dummer, Reinhard
last_name: Dummer
- first_name: Stefanie
full_name: Engler, Stefanie
last_name: Engler
- first_name: Martin
full_name: Erkens, Martin
last_name: Erkens
- first_name: Katja
full_name: Eschbach, Katja
last_name: Eschbach
- first_name: Cinzia
full_name: Esposito, Cinzia
last_name: Esposito
- first_name: André
full_name: Fedier, André
last_name: Fedier
- first_name: Pedro
full_name: Ferreira, Pedro
last_name: Ferreira
- first_name: Joanna
full_name: Ficek, Joanna
last_name: Ficek
- first_name: Anja L
full_name: Frei, Anja L
last_name: Frei
- first_name: Bruno
full_name: Frey, Bruno
last_name: Frey
- first_name: Sandra
full_name: Goetze, Sandra
last_name: Goetze
- first_name: Linda
full_name: Grob, Linda
last_name: Grob
- first_name: Gabriele
full_name: Gut, Gabriele
last_name: Gut
- first_name: Detlef
full_name: Günther, Detlef
last_name: Günther
- first_name: Martina
full_name: Haberecker, Martina
last_name: Haberecker
- first_name: Pirmin
full_name: Haeuptle, Pirmin
last_name: Haeuptle
- first_name: Viola
full_name: Heinzelmann-Schwarz, Viola
last_name: Heinzelmann-Schwarz
- first_name: Sylvia
full_name: Herter, Sylvia
last_name: Herter
- first_name: Rene
full_name: Holtackers, Rene
last_name: Holtackers
- first_name: Tamara
full_name: Huesser, Tamara
last_name: Huesser
- first_name: Anja
full_name: Irmisch, Anja
last_name: Irmisch
- first_name: Francis
full_name: Jacob, Francis
last_name: Jacob
- first_name: Andrea
full_name: Jacobs, Andrea
last_name: Jacobs
- first_name: Tim M
full_name: Jaeger, Tim M
last_name: Jaeger
- first_name: Katharina
full_name: Jahn, Katharina
last_name: Jahn
- first_name: Alva R
full_name: James, Alva R
last_name: James
- first_name: Philip M
full_name: Jermann, Philip M
last_name: Jermann
- first_name: André
full_name: Kahles, André
last_name: Kahles
- first_name: Abdullah
full_name: Kahraman, Abdullah
last_name: Kahraman
- first_name: Viktor H
full_name: Koelzer, Viktor H
last_name: Koelzer
- first_name: Werner
full_name: Kuebler, Werner
last_name: Kuebler
- first_name: Jack
full_name: Kuipers, Jack
last_name: Kuipers
- first_name: Christian P
full_name: Kunze, Christian P
last_name: Kunze
- first_name: Christian
full_name: Kurzeder, Christian
last_name: Kurzeder
- first_name: Kjong-Van
full_name: Lehmann, Kjong-Van
last_name: Lehmann
- first_name: Mitchell
full_name: Levesque, Mitchell
last_name: Levesque
- first_name: Sebastian
full_name: Lugert, Sebastian
last_name: Lugert
- first_name: Gerd
full_name: Maass, Gerd
last_name: Maass
- first_name: Markus
full_name: Manz, Markus
last_name: Manz
- first_name: Philipp
full_name: Markolin, Philipp
last_name: Markolin
- first_name: Julien
full_name: Mena, Julien
last_name: Mena
- first_name: Ulrike
full_name: Menzel, Ulrike
last_name: Menzel
- first_name: Julian M
full_name: Metzler, Julian M
last_name: Metzler
- first_name: Nicola
full_name: Miglino, Nicola
last_name: Miglino
- first_name: Emanuela S
full_name: Milani, Emanuela S
last_name: Milani
- first_name: Holger
full_name: Moch, Holger
last_name: Moch
- first_name: Simone
full_name: Muenst, Simone
last_name: Muenst
- first_name: Riccardo
full_name: Murri, Riccardo
last_name: Murri
- first_name: Charlotte KY
full_name: Ng, Charlotte KY
last_name: Ng
- first_name: Stefan
full_name: Nicolet, Stefan
last_name: Nicolet
- first_name: Marta
full_name: Nowak, Marta
last_name: Nowak
- first_name: Patrick GA
full_name: Pedrioli, Patrick GA
last_name: Pedrioli
- first_name: Lucas
full_name: Pelkmans, Lucas
last_name: Pelkmans
- first_name: Salvatore
full_name: Piscuoglio, Salvatore
last_name: Piscuoglio
- first_name: Michael
full_name: Prummer, Michael
last_name: Prummer
- first_name: Mathilde
full_name: Ritter, Mathilde
last_name: Ritter
- first_name: Christian
full_name: Rommel, Christian
last_name: Rommel
- first_name: María L
full_name: Rosano-González, María L
last_name: Rosano-González
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
- first_name: Natascha
full_name: Santacroce, Natascha
last_name: Santacroce
- first_name: Jacobo Sarabia del
full_name: Castillo, Jacobo Sarabia del
last_name: Castillo
- first_name: Ramona
full_name: Schlenker, Ramona
last_name: Schlenker
- first_name: Petra C
full_name: Schwalie, Petra C
last_name: Schwalie
- first_name: Severin
full_name: Schwan, Severin
last_name: Schwan
- first_name: Tobias
full_name: Schär, Tobias
last_name: Schär
- first_name: Gabriela
full_name: Senti, Gabriela
last_name: Senti
- first_name: Franziska
full_name: Singer, Franziska
last_name: Singer
- first_name: Sujana
full_name: Sivapatham, Sujana
last_name: Sivapatham
- first_name: Berend
full_name: Snijder, Berend
last_name: Snijder
- first_name: Bettina
full_name: Sobottka, Bettina
last_name: Sobottka
- first_name: Vipin T
full_name: Sreedharan, Vipin T
last_name: Sreedharan
- first_name: Stefan
full_name: Stark, Stefan
last_name: Stark
- first_name: Daniel J
full_name: Stekhoven, Daniel J
last_name: Stekhoven
- first_name: Alexandre PA
full_name: Theocharides, Alexandre PA
last_name: Theocharides
- first_name: Tinu M
full_name: Thomas, Tinu M
last_name: Thomas
- first_name: Markus
full_name: Tolnay, Markus
last_name: Tolnay
- first_name: Vinko
full_name: Tosevski, Vinko
last_name: Tosevski
- first_name: Nora C
full_name: Toussaint, Nora C
last_name: Toussaint
- first_name: Mustafa A
full_name: Tuncel, Mustafa A
last_name: Tuncel
- first_name: Marina
full_name: Tusup, Marina
last_name: Tusup
- first_name: Audrey Van
full_name: Drogen, Audrey Van
last_name: Drogen
- first_name: Marcus
full_name: Vetter, Marcus
last_name: Vetter
- first_name: Tatjana
full_name: Vlajnic, Tatjana
last_name: Vlajnic
- first_name: Sandra
full_name: Weber, Sandra
last_name: Weber
- first_name: Walter P
full_name: Weber, Walter P
last_name: Weber
- first_name: Rebekka
full_name: Wegmann, Rebekka
last_name: Wegmann
- first_name: Michael
full_name: Weller, Michael
last_name: Weller
- first_name: Fabian
full_name: Wendt, Fabian
last_name: Wendt
- first_name: Norbert
full_name: Wey, Norbert
last_name: Wey
- first_name: Andreas
full_name: Wicki, Andreas
last_name: Wicki
- first_name: Bernd
full_name: Wollscheid, Bernd
last_name: Wollscheid
- first_name: Shuqing
full_name: Yu, Shuqing
last_name: Yu
- first_name: Johanna
full_name: Ziegler, Johanna
last_name: Ziegler
- first_name: Marc
full_name: Zimmermann, Marc
last_name: Zimmermann
- first_name: Martin
full_name: Zoche, Martin
last_name: Zoche
- first_name: Gregor
full_name: Zuend, Gregor
last_name: Zuend
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
- first_name: Kjong-Van
full_name: Lehmann, Kjong-Van
last_name: Lehmann
citation:
ama: 'Stark SG, Ficek J, Locatello F, et al. SCIM: Universal single-cell matching
with unpaired feature sets. Bioinformatics. 2020;36(Supplement_2):i919-i927.
doi:10.1093/bioinformatics/btaa843'
apa: 'Stark, S. G., Ficek, J., Locatello, F., Bonilla, X., Chevrier, S., Singer,
F., … Lehmann, K.-V. (2020). SCIM: Universal single-cell matching with unpaired
feature sets. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btaa843'
chicago: 'Stark, Stefan G, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane
Chevrier, Franziska Singer, Rudolf Aebersold, et al. “SCIM: Universal Single-Cell
Matching with Unpaired Feature Sets.” Bioinformatics. Oxford University
Press, 2020. https://doi.org/10.1093/bioinformatics/btaa843.'
ieee: 'S. G. Stark et al., “SCIM: Universal single-cell matching with unpaired
feature sets,” Bioinformatics, vol. 36, no. Supplement_2. Oxford University
Press, pp. i919–i927, 2020.'
ista: 'Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired
feature sets. Bioinformatics. 36(Supplement_2), i919–i927.'
mla: 'Stark, Stefan G., et al. “SCIM: Universal Single-Cell Matching with Unpaired
Feature Sets.” Bioinformatics, vol. 36, no. Supplement_2, Oxford University
Press, 2020, pp. i919–27, doi:10.1093/bioinformatics/btaa843.'
short: S.G. Stark, J. Ficek, F. Locatello, X. Bonilla, S. Chevrier, F. Singer, R.
Aebersold, F.S. Al-Quaddoomi, J. Albinus, I. Alborelli, S. Andani, P.-O. Attinger,
M. Bacac, D. Baumhoer, B. Beck-Schimmer, N. Beerenwinkel, C. Beisel, L. Bernasconi,
A. Bertolini, B. Bodenmiller, X. Bonilla, R. Casanova, S. Chevrier, N. Chicherova,
M. D’Costa, E. Danenberg, N. Davidson, M.-A.D. gan, R. Dummer, S. Engler, M. Erkens,
K. Eschbach, C. Esposito, A. Fedier, P. Ferreira, J. Ficek, A.L. Frei, B. Frey,
S. Goetze, L. Grob, G. Gut, D. Günther, M. Haberecker, P. Haeuptle, V. Heinzelmann-Schwarz,
S. Herter, R. Holtackers, T. Huesser, A. Irmisch, F. Jacob, A. Jacobs, T.M. Jaeger,
K. Jahn, A.R. James, P.M. Jermann, A. Kahles, A. Kahraman, V.H. Koelzer, W. Kuebler,
J. Kuipers, C.P. Kunze, C. Kurzeder, K.-V. Lehmann, M. Levesque, S. Lugert, G.
Maass, M. Manz, P. Markolin, J. Mena, U. Menzel, J.M. Metzler, N. Miglino, E.S.
Milani, H. Moch, S. Muenst, R. Murri, C.K. Ng, S. Nicolet, M. Nowak, P.G. Pedrioli,
L. Pelkmans, S. Piscuoglio, M. Prummer, M. Ritter, C. Rommel, M.L. Rosano-González,
G. Rätsch, N. Santacroce, J.S. del Castillo, R. Schlenker, P.C. Schwalie, S. Schwan,
T. Schär, G. Senti, F. Singer, S. Sivapatham, B. Snijder, B. Sobottka, V.T. Sreedharan,
S. Stark, D.J. Stekhoven, A.P. Theocharides, T.M. Thomas, M. Tolnay, V. Tosevski,
N.C. Toussaint, M.A. Tuncel, M. Tusup, A.V. Drogen, M. Vetter, T. Vlajnic, S.
Weber, W.P. Weber, R. Wegmann, M. Weller, F. Wendt, N. Wey, A. Wicki, B. Wollscheid,
S. Yu, J. Ziegler, M. Zimmermann, M. Zoche, G. Zuend, G. Rätsch, K.-V. Lehmann,
Bioinformatics 36 (2020) i919–i927.
date_created: 2023-08-21T12:28:20Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2023-09-11T10:21:00Z
day: '01'
department:
- _id: FrLo
doi: 10.1093/bioinformatics/btaa843
extern: '1'
external_id:
pmid:
- '33381818'
intvolume: ' 36'
issue: Supplement_2
keyword:
- Computational Mathematics
- Computational Theory and Mathematics
- Computer Science Applications
- Molecular Biology
- Biochemistry
- Statistics and Probability
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/bioinformatics/btaa843
month: '12'
oa: 1
oa_version: Published Version
page: i919-i927
pmid: 1
publication: Bioinformatics
publication_identifier:
eissn:
- 1367-4811
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/ratschlab/scim
scopus_import: '1'
status: public
title: 'SCIM: Universal single-cell matching with unpaired feature sets'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2020'
...
---
_id: '8459'
abstract:
- lang: eng
text: Nuclear magnetic resonance (NMR) is a powerful tool for observing the motion
of biomolecules at the atomic level. One technique, the analysis of relaxation
dispersion phenomenon, is highly suited for studying the kinetics and thermodynamics
of biological processes. Built on top of the relax computational environment for
NMR dynamics is a new dispersion analysis designed to be comprehensive, accurate
and easy-to-use. The software supports more models, both numeric and analytic,
than current solutions. An automated protocol, available for scripting and driving
the graphical user interface (GUI), is designed to simplify the analysis of dispersion
data for NMR spectroscopists. Decreases in optimization time are granted by parallelization
for running on computer clusters and by skipping an initial grid search by using
parameters from one solution as the starting point for another —using analytic
model results for the numeric models, taking advantage of model nesting, and using
averaged non-clustered results for the clustered analysis.
article_processing_charge: No
article_type: original
author:
- first_name: Sébastien
full_name: Morin, Sébastien
last_name: Morin
- first_name: Troels E
full_name: Linnet, Troels E
last_name: Linnet
- first_name: Mathilde
full_name: Lescanne, Mathilde
last_name: Lescanne
- first_name: Paul
full_name: Schanda, Paul
id: 7B541462-FAF6-11E9-A490-E8DFE5697425
last_name: Schanda
orcid: 0000-0002-9350-7606
- first_name: Gary S
full_name: Thompson, Gary S
last_name: Thompson
- first_name: Martin
full_name: Tollinger, Martin
last_name: Tollinger
- first_name: Kaare
full_name: Teilum, Kaare
last_name: Teilum
- first_name: Stéphane
full_name: Gagné, Stéphane
last_name: Gagné
- first_name: Dominique
full_name: Marion, Dominique
last_name: Marion
- first_name: Christian
full_name: Griesinger, Christian
last_name: Griesinger
- first_name: Martin
full_name: Blackledge, Martin
last_name: Blackledge
- first_name: Edward J
full_name: d’Auvergne, Edward J
last_name: d’Auvergne
citation:
ama: 'Morin S, Linnet TE, Lescanne M, et al. Relax: The analysis of biomolecular
kinetics and thermodynamics using NMR relaxation dispersion data. Bioinformatics.
2014;30(15):2219-2220. doi:10.1093/bioinformatics/btu166'
apa: 'Morin, S., Linnet, T. E., Lescanne, M., Schanda, P., Thompson, G. S., Tollinger,
M., … d’Auvergne, E. J. (2014). Relax: The analysis of biomolecular kinetics and
thermodynamics using NMR relaxation dispersion data. Bioinformatics. Oxford
University Press. https://doi.org/10.1093/bioinformatics/btu166'
chicago: 'Morin, Sébastien, Troels E Linnet, Mathilde Lescanne, Paul Schanda, Gary
S Thompson, Martin Tollinger, Kaare Teilum, et al. “Relax: The Analysis of Biomolecular
Kinetics and Thermodynamics Using NMR Relaxation Dispersion Data.” Bioinformatics.
Oxford University Press, 2014. https://doi.org/10.1093/bioinformatics/btu166.'
ieee: 'S. Morin et al., “Relax: The analysis of biomolecular kinetics and
thermodynamics using NMR relaxation dispersion data,” Bioinformatics, vol.
30, no. 15. Oxford University Press, pp. 2219–2220, 2014.'
ista: 'Morin S, Linnet TE, Lescanne M, Schanda P, Thompson GS, Tollinger M, Teilum
K, Gagné S, Marion D, Griesinger C, Blackledge M, d’Auvergne EJ. 2014. Relax:
The analysis of biomolecular kinetics and thermodynamics using NMR relaxation
dispersion data. Bioinformatics. 30(15), 2219–2220.'
mla: 'Morin, Sébastien, et al. “Relax: The Analysis of Biomolecular Kinetics and
Thermodynamics Using NMR Relaxation Dispersion Data.” Bioinformatics, vol.
30, no. 15, Oxford University Press, 2014, pp. 2219–20, doi:10.1093/bioinformatics/btu166.'
short: S. Morin, T.E. Linnet, M. Lescanne, P. Schanda, G.S. Thompson, M. Tollinger,
K. Teilum, S. Gagné, D. Marion, C. Griesinger, M. Blackledge, E.J. d’Auvergne,
Bioinformatics 30 (2014) 2219–2220.
date_created: 2020-09-18T10:08:07Z
date_published: 2014-08-01T00:00:00Z
date_updated: 2021-01-12T08:19:25Z
day: '01'
doi: 10.1093/bioinformatics/btu166
extern: '1'
intvolume: ' 30'
issue: '15'
keyword:
- Statistics and Probability
- Computational Theory and Mathematics
- Biochemistry
- Molecular Biology
- Computational Mathematics
- Computer Science Applications
language:
- iso: eng
month: '08'
oa_version: None
page: 2219-2220
publication: Bioinformatics
publication_identifier:
issn:
- 1367-4803
- 1460-2059
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1093/bioinformatics/btz397
status: public
title: 'Relax: The analysis of biomolecular kinetics and thermodynamics using NMR
relaxation dispersion data'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2014'
...