Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 938 entries
Sorted by: Best Match Show Resources per page
Correction: Data-driven prediction and design of bZIP coiled-coil interactions.

PLoS computational biology

[No authors listed]
PMID: 25874775
PLoS Comput Biol. 2015 Apr 15;11(4):e1004243. doi: 10.1371/journal.pcbi.1004243. eCollection 2015 Apr.

No abstract available.

Cite
Correction: Data-driven prediction and design of bZIP coiled-coil interactions. PLoS Comput Biol. 2015;11(4):e1004243doi: 10.1371/journal.pcbi.1004243.
(2015). Correction: Data-driven prediction and design of bZIP coiled-coil interactions. PLoS computational biology, 11(4), e1004243. https://doi.org/10.1371/journal.pcbi.1004243
"Correction: Data-driven prediction and design of bZIP coiled-coil interactions." PLoS computational biology vol. 11,4 (2015): e1004243. doi: https://doi.org/10.1371/journal.pcbi.1004243
Correction: Data-driven prediction and design of bZIP coiled-coil interactions. PLoS Comput Biol. 2015 Apr 15;11(4):e1004243. doi: 10.1371/journal.pcbi.1004243. eCollection 2015 Apr. PMID: 25874775; PMCID: PMC4398558.
Copy Download .nbib Format: NLM
Correction: Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression.

PLoS computational biology

[No authors listed]
PMID: 28384155
PLoS Comput Biol. 2017 Apr 06;13(4):e1005472. doi: 10.1371/journal.pcbi.1005472. eCollection 2017 Apr.

[This corrects the article DOI: 10.1371/journal.pcbi.1005347.].

Cite
Correction: Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS Comput Biol. 2017;13(4):e1005472doi: 10.1371/journal.pcbi.1005472.
(2017). Correction: Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS computational biology, 13(4), e1005472. https://doi.org/10.1371/journal.pcbi.1005472
"Correction: Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression." PLoS computational biology vol. 13,4 (2017): e1005472. doi: https://doi.org/10.1371/journal.pcbi.1005472
Correction: Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS Comput Biol. 2017 Apr 06;13(4):e1005472. doi: 10.1371/journal.pcbi.1005472. eCollection 2017 Apr. PMID: 28384155; PMCID: PMC5383014.
Copy Download .nbib Format: NLM
Correction: Multiscale Approach to the Determination of the Photoactive Yellow Protein Signaling State Ensemble.

PLoS computational biology

[No authors listed]
PMID: 28945749
PLoS Comput Biol. 2017 Sep 25;13(9):e1005770. doi: 10.1371/journal.pcbi.1005770. eCollection 2017 Sep.

[This corrects the article DOI: 10.1371/journal.pcbi.1003797.].

Cite
Correction: Multiscale Approach to the Determination of the Photoactive Yellow Protein Signaling State Ensemble. PLoS Comput Biol. 2017;13(9):e1005770doi: 10.1371/journal.pcbi.1005770.
(2017). Correction: Multiscale Approach to the Determination of the Photoactive Yellow Protein Signaling State Ensemble. PLoS computational biology, 13(9), e1005770. https://doi.org/10.1371/journal.pcbi.1005770
"Correction: Multiscale Approach to the Determination of the Photoactive Yellow Protein Signaling State Ensemble." PLoS computational biology vol. 13,9 (2017): e1005770. doi: https://doi.org/10.1371/journal.pcbi.1005770
Correction: Multiscale Approach to the Determination of the Photoactive Yellow Protein Signaling State Ensemble. PLoS Comput Biol. 2017 Sep 25;13(9):e1005770. doi: 10.1371/journal.pcbi.1005770. eCollection 2017 Sep. PMID: 28945749; PMCID: PMC5612452.
Copy Download .nbib Format: NLM
Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics.

PLoS computational biology

Vaidya NK, Ribeiro RM, Perelson AS, Kumar A.
PMID: 27668463
PLoS Comput Biol. 2016 Sep 26;12(9):e1005127. doi: 10.1371/journal.pcbi.1005127. eCollection 2016 Sep.

Complications of HIV-1 infection in individuals who utilize drugs of abuse is a significant problem, because these drugs have been associated with higher virus replication and accelerated disease progression as well as severe neuropathogenesis. To gain further insight it...

Cite
Vaidya NK, Ribeiro RM, Perelson AS, et al. Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics. PLoS Comput Biol. 2016;12(9):e1005127doi: 10.1371/journal.pcbi.1005127.
Vaidya, N. K., Ribeiro, R. M., Perelson, A. S., & Kumar, A. (2016). Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics. PLoS computational biology, 12(9), e1005127. https://doi.org/10.1371/journal.pcbi.1005127
Vaidya, Naveen K, et al. "Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics." PLoS computational biology vol. 12,9 (2016): e1005127. doi: https://doi.org/10.1371/journal.pcbi.1005127
Vaidya NK, Ribeiro RM, Perelson AS, Kumar A. Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics. PLoS Comput Biol. 2016 Sep 26;12(9):e1005127. doi: 10.1371/journal.pcbi.1005127. eCollection 2016 Sep. PMID: 27668463; PMCID: PMC5036892.
Copy Download .nbib Format: NLM
Correction: Cell Fate Reprogramming by Control of Intracellular Network Dynamics.

PLoS computational biology

[No authors listed]
PMID: 26700269
PLoS Comput Biol. 2015 Dec 23;11(12):e1004672. doi: 10.1371/journal.pcbi.1004672. eCollection 2015 Dec.

No abstract available.

Cite
Correction: Cell Fate Reprogramming by Control of Intracellular Network Dynamics. PLoS Comput Biol. 2015;11(12):e1004672doi: 10.1371/journal.pcbi.1004672.
(2015). Correction: Cell Fate Reprogramming by Control of Intracellular Network Dynamics. PLoS computational biology, 11(12), e1004672. https://doi.org/10.1371/journal.pcbi.1004672
"Correction: Cell Fate Reprogramming by Control of Intracellular Network Dynamics." PLoS computational biology vol. 11,12 (2015): e1004672. doi: https://doi.org/10.1371/journal.pcbi.1004672
Correction: Cell Fate Reprogramming by Control of Intracellular Network Dynamics. PLoS Comput Biol. 2015 Dec 23;11(12):e1004672. doi: 10.1371/journal.pcbi.1004672. eCollection 2015 Dec. PMID: 26700269; PMCID: PMC4689585.
Copy Download .nbib Format: NLM
Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee).

PLoS computational biology

Welch L, Brooksbank C, Schwartz R, Morgan SL, Gaeta B, Kilpatrick AM, Mietchen D, Moore BL, Mulder N, Pauley M, Pearson W, Radivojac P, Rosenberg N, Rosenwald A, Rustici G, Warnow T.
PMID: 27175996
PLoS Comput Biol. 2016 May 13;12(5):e1004943. doi: 10.1371/journal.pcbi.1004943. eCollection 2016 May.

No abstract available.

Cite
Welch L, Brooksbank C, Schwartz R, et al. Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee). PLoS Comput Biol. 2016;12(5):e1004943doi: 10.1371/journal.pcbi.1004943.
Welch, L., Brooksbank, C., Schwartz, R., Morgan, S. L., Gaeta, B., Kilpatrick, A. M., Mietchen, D., Moore, B. L., Mulder, N., Pauley, M., Pearson, W., Radivojac, P., Rosenberg, N., Rosenwald, A., Rustici, G., & Warnow, T. (2016). Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee). PLoS computational biology, 12(5), e1004943. https://doi.org/10.1371/journal.pcbi.1004943
Welch, Lonnie, et al. "Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee)." PLoS computational biology vol. 12,5 (2016): e1004943. doi: https://doi.org/10.1371/journal.pcbi.1004943
Welch L, Brooksbank C, Schwartz R, Morgan SL, Gaeta B, Kilpatrick AM, Mietchen D, Moore BL, Mulder N, Pauley M, Pearson W, Radivojac P, Rosenberg N, Rosenwald A, Rustici G, Warnow T. Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee). PLoS Comput Biol. 2016 May 13;12(5):e1004943. doi: 10.1371/journal.pcbi.1004943. eCollection 2016 May. PMID: 27175996; PMCID: PMC4866758.
Copy Download .nbib Format: NLM
Correction: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial.

PLoS computational biology

[No authors listed]
PMID: 26812465
PLoS Comput Biol. 2016 Jan 26;12(1):e1004733. doi: 10.1371/journal.pcbi.1004733. eCollection 2016 Jan.

[This corrects the article DOI: 10.1371/journal.pcbi.1003973.].

Cite
Correction: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial. PLoS Comput Biol. 2016;12(1):e1004733doi: 10.1371/journal.pcbi.1004733.
(2016). Correction: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial. PLoS computational biology, 12(1), e1004733. https://doi.org/10.1371/journal.pcbi.1004733
"Correction: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial." PLoS computational biology vol. 12,1 (2016): e1004733. doi: https://doi.org/10.1371/journal.pcbi.1004733
Correction: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial. PLoS Comput Biol. 2016 Jan 26;12(1):e1004733. doi: 10.1371/journal.pcbi.1004733. eCollection 2016 Jan. PMID: 26812465; PMCID: PMC4727936.
Copy Download .nbib Format: NLM
2017 ISCB Innovator Award: Aviv Regev.

PLoS computational biology

Fogg CN, Kovats DE, Berger B.
PMID: 28665936
PLoS Comput Biol. 2017 Jun 30;13(6):e1005558. doi: 10.1371/journal.pcbi.1005558. eCollection 2017 Jun.

No abstract available.

Cite
Fogg CN, Kovats DE, Berger B. 2017 ISCB Innovator Award: Aviv Regev. PLoS Comput Biol. 2017;13(6):e1005558doi: 10.1371/journal.pcbi.1005558.
Fogg, C. N., Kovats, D. E., & Berger, B. (2017). 2017 ISCB Innovator Award: Aviv Regev. PLoS computational biology, 13(6), e1005558. https://doi.org/10.1371/journal.pcbi.1005558
Fogg, Christiana N, et al. "2017 ISCB Innovator Award: Aviv Regev." PLoS computational biology vol. 13,6 (2017): e1005558. doi: https://doi.org/10.1371/journal.pcbi.1005558
Fogg CN, Kovats DE, Berger B. 2017 ISCB Innovator Award: Aviv Regev. PLoS Comput Biol. 2017 Jun 30;13(6):e1005558. doi: 10.1371/journal.pcbi.1005558. eCollection 2017 Jun. PMID: 28665936; PMCID: PMC5493285.
Copy Download .nbib Format: NLM
Correction: A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability.

PLoS computational biology

[No authors listed]
PMID: 28081212
PLoS Comput Biol. 2017 Jan 12;13(1):e1005323. doi: 10.1371/journal.pcbi.1005323. eCollection 2017 Jan.

[This corrects the article DOI: 10.1371/journal.pcbi.1005230.].

Cite
Correction: A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability. PLoS Comput Biol. 2017;13(1):e1005323doi: 10.1371/journal.pcbi.1005323.
(2017). Correction: A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability. PLoS computational biology, 13(1), e1005323. https://doi.org/10.1371/journal.pcbi.1005323
"Correction: A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability." PLoS computational biology vol. 13,1 (2017): e1005323. doi: https://doi.org/10.1371/journal.pcbi.1005323
Correction: A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability. PLoS Comput Biol. 2017 Jan 12;13(1):e1005323. doi: 10.1371/journal.pcbi.1005323. eCollection 2017 Jan. PMID: 28081212; PMCID: PMC5230745.
Copy Download .nbib Format: NLM
Ten Simple Rules for Developing a MOOC.

PLoS computational biology

Manallack DT, Yuriev E.
PMID: 27764089
PLoS Comput Biol. 2016 Oct 20;12(10):e1005061. doi: 10.1371/journal.pcbi.1005061. eCollection 2016 Oct.

No abstract available.

Cite
Manallack DT, Yuriev E. Ten Simple Rules for Developing a MOOC. PLoS Comput Biol. 2016;12(10):e1005061doi: 10.1371/journal.pcbi.1005061.
Manallack, D. T., & Yuriev, E. (2016). Ten Simple Rules for Developing a MOOC. PLoS computational biology, 12(10), e1005061. https://doi.org/10.1371/journal.pcbi.1005061
Manallack, David T, and Yuriev, Elizabeth. "Ten Simple Rules for Developing a MOOC." PLoS computational biology vol. 12,10 (2016): e1005061. doi: https://doi.org/10.1371/journal.pcbi.1005061
Manallack DT, Yuriev E. Ten Simple Rules for Developing a MOOC. PLoS Comput Biol. 2016 Oct 20;12(10):e1005061. doi: 10.1371/journal.pcbi.1005061. eCollection 2016 Oct. PMID: 27764089; PMCID: PMC5072615.
Copy Download .nbib Format: NLM
2017 ISCB Accomplishment by a Senior Scientist Award given to Pavel Pevzner.

PLoS computational biology

Fogg CN, Kovats DE, Berger B.
PMID: 28665953
PLoS Comput Biol. 2017 Jun 30;13(6):e1005561. doi: 10.1371/journal.pcbi.1005561. eCollection 2017 Jun.

No abstract available.

Cite
Fogg CN, Kovats DE, Berger B. 2017 ISCB Accomplishment by a Senior Scientist Award given to Pavel Pevzner. PLoS Comput Biol. 2017;13(6):e1005561doi: 10.1371/journal.pcbi.1005561.
Fogg, C. N., Kovats, D. E., & Berger, B. (2017). 2017 ISCB Accomplishment by a Senior Scientist Award given to Pavel Pevzner. PLoS computational biology, 13(6), e1005561. https://doi.org/10.1371/journal.pcbi.1005561
Fogg, Christiana N, et al. "2017 ISCB Accomplishment by a Senior Scientist Award given to Pavel Pevzner." PLoS computational biology vol. 13,6 (2017): e1005561. doi: https://doi.org/10.1371/journal.pcbi.1005561
Fogg CN, Kovats DE, Berger B. 2017 ISCB Accomplishment by a Senior Scientist Award given to Pavel Pevzner. PLoS Comput Biol. 2017 Jun 30;13(6):e1005561. doi: 10.1371/journal.pcbi.1005561. eCollection 2017 Jun. PMID: 28665953; PMCID: PMC5493287.
Copy Download .nbib Format: NLM
Improving Collective Estimations Using Resistance to Social Influence.

PLoS computational biology

Madirolas G, de Polavieja GG.
PMID: 26565619
PLoS Comput Biol. 2015 Nov 13;11(11):e1004594. doi: 10.1371/journal.pcbi.1004594. eCollection 2015 Nov.

Groups can make precise collective estimations in cases like the weight of an object or the number of items in a volume. However, in others tasks, for example those requiring memory or mental calculation, subjects often give estimations with...

Cite
Madirolas G, de Polavieja GG. Improving Collective Estimations Using Resistance to Social Influence. PLoS Comput Biol. 2015;11(11):e1004594doi: 10.1371/journal.pcbi.1004594.
Madirolas, G., & de Polavieja, G. G. (2015). Improving Collective Estimations Using Resistance to Social Influence. PLoS computational biology, 11(11), e1004594. https://doi.org/10.1371/journal.pcbi.1004594
Madirolas, Gabriel, and de Polavieja, Gonzalo G. "Improving Collective Estimations Using Resistance to Social Influence." PLoS computational biology vol. 11,11 (2015): e1004594. doi: https://doi.org/10.1371/journal.pcbi.1004594
Madirolas G, de Polavieja GG. Improving Collective Estimations Using Resistance to Social Influence. PLoS Comput Biol. 2015 Nov 13;11(11):e1004594. doi: 10.1371/journal.pcbi.1004594. eCollection 2015 Nov. PMID: 26565619; PMCID: PMC4643903.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 938 entries