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1 |
Material Type: Article
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Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactatePLoS computational biology, 2018-08, Vol.14 (8), p.e1006392-e1006392 [Peer Reviewed Journal]2018 Coggan et al 2018 Coggan et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006392 ;PMID: 30161133Full text available |
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Material Type: Article
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OpenMM 7: Rapid development of high performance algorithms for molecular dynamicsPLoS computational biology, 2017-07, Vol.13 (7), p.e1005659-e1005659 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Eastman P, Swails J, Chodera JD, McGibbon RT, Zhao Y, Beauchamp KA, et al. (2017) OpenMM 7: Rapid development of high performance algorithms for molecular dynamics. PLoS Comput Biol 13(7): e1005659. https://doi.org/10.1371/journal.pcbi.1005659 ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Eastman P, Swails J, Chodera JD, McGibbon RT, Zhao Y, Beauchamp KA, et al. (2017) OpenMM 7: Rapid development of high performance algorithms for molecular dynamics. PLoS Comput Biol 13(7): e1005659. https://doi.org/10.1371/journal.pcbi.1005659 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005659 ;PMID: 28746339Full text available |
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3 |
Material Type: Article
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Multivariable association discovery in population-scale meta-omics studiesPLoS computational biology, 2021-11, Vol.17 (11), p.e1009442 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1009442 ;PMID: 34784344Full text available |
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4 |
Material Type: Article
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BEAST 2: a software platform for Bayesian evolutionary analysisPLoS computational biology, 2014-04, Vol.10 (4), p.e1003537 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Bouckaert et al 2014 Bouckaert et al ;2014 Bouckaert et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu C-H, et al. (2014) BEAST 2: A Software Platform for Bayesian Evolutionary Analysis. PLoS Comput Biol 10(4): e1003537. doi:10.1371/journal.pcbi.1003537 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003537 ;PMID: 24722319Full text available |
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5 |
Material Type: Article
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Unicycler: Resolving bacterial genome assemblies from short and long sequencing readsPLoS computational biology, 2017-06, Vol.13 (6), p.e1005595-e1005595 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wick RR, Judd LM, Gorrie CL, Holt KE (2017) Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13(6): e1005595. https://doi.org/10.1371/journal.pcbi.1005595 ;2017 Wick et al 2017 Wick et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wick RR, Judd LM, Gorrie CL, Holt KE (2017) Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13(6): e1005595. https://doi.org/10.1371/journal.pcbi.1005595 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005595 ;PMID: 28594827Full text available |
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6 |
Material Type: Article
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Waste not, want not: why rarefying microbiome data is inadmissiblePLoS computational biology, 2014-04, Vol.10 (4), p.e1003531-e1003531 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 McMurdie, Holmes 2014 McMurdie, Holmes ;2014 McMurdie, Holmes. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: McMurdie PJ, Holmes S (2014) Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible. PLoS Comput Biol 10(4): e1003531. doi:10.1371/journal.pcbi.1003531 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003531 ;PMID: 24699258Full text available |
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7 |
Material Type: Article
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mixOmics: An R package for 'omics feature selection and multiple data integrationPLoS computational biology, 2017-11, Vol.13 (11), p.e1005752-e1005752 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Rohart F, Gautier B, Singh A, Lê Cao K-A (2017) mixOmics: An R package for ‘omics feature selection and multiple data integration. PLoS Comput Biol 13(11): e1005752. https://doi.org/10.1371/journal.pcbi.1005752 ;2017 Rohart et al 2017 Rohart et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Rohart F, Gautier B, Singh A, Lê Cao K-A (2017) mixOmics: An R package for ‘omics feature selection and multiple data integration. PLoS Comput Biol 13(11): e1005752. https://doi.org/10.1371/journal.pcbi.1005752 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005752 ;PMID: 29099853Full text available |
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8 |
Material Type: Article
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Biodiversity is enhanced by sequential resource utilization and environmental fluctuations via emergent temporal nichesPLoS computational biology, 2024-05, Vol.20 (5), p.e1012049-e1012049 [Peer Reviewed Journal]Copyright: © 2024 Bloxham et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 Bloxham et al 2024 Bloxham et al ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1012049 ;PMID: 38739654Full text available |
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Material Type: Article
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MUMmer4: A fast and versatile genome alignment systemPLoS computational biology, 2018-01, Vol.14 (1), p.e1005944-e1005944 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A (2018) MUMmer4: A fast and versatile genome alignment system. PLoS Comput Biol 14(1): e1005944. https://doi.org/10.1371/journal.pcbi.1005944 ;2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A (2018) MUMmer4: A fast and versatile genome alignment system. PLoS Comput Biol 14(1): e1005944. https://doi.org/10.1371/journal.pcbi.1005944 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005944 ;PMID: 29373581Full text available |
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10 |
Material Type: Article
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Mixtures of strategies underlie rodent behavior during reversal learningPLoS computational biology, 2023-09, Vol.19 (9), p.e1011430-e1011430 [Peer Reviewed Journal]Copyright: © 2023 Le et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;2023 Le et al 2023 Le et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1011430 ;PMID: 37708113Full text available |
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11 |
Material Type: Article
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Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learningPLoS computational biology, 2022-06, Vol.18 (6), p.e1010238-e1010238 [Peer Reviewed Journal]2022 Lu et al 2022 Lu et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1010238 ;PMID: 35767567Full text available |
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12 |
Material Type: Article
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Deep supervised, but not unsupervised, models may explain IT cortical representationPLoS computational biology, 2014-11, Vol.10 (11), p.e1003915-e1003915 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Khaligh-Razavi, Kriegeskorte 2014 Khaligh-Razavi, Kriegeskorte ;2014 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Khaligh-Razavi S-M, Kriegeskorte N (2014) Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation. PLoS Comput Biol 10(11): e1003915. doi:10.1371/journal.pcbi.1003915 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003915 ;PMID: 25375136Full text available |
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13 |
Material Type: Article
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Efficient Coalescent Simulation and Genealogical Analysis for Large Sample SizesPLoS computational biology, 2016-05, Vol.12 (5), p.e1004842-e1004842 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Kelleher et al 2016 Kelleher et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004842 ;PMID: 27145223Full text available |
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14 |
Material Type: Article
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Integrating Hi-C links with assembly graphs for chromosome-scale assemblyPLoS computational biology, 2019-08, Vol.15 (8), p.e1007273-e1007273 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007273 ;PMID: 31433799Full text available |
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Material Type: Article
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Deep neural networks rival the representation of primate IT cortex for core visual object recognitionPLoS computational biology, 2014-12, Vol.10 (12), p.e1003963-e1003963 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Cadieu et al 2014 Cadieu et al ;2014 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Cadieu CF, Hong H, Yamins DLK, Pinto N, Ardila D, Solomon EA, et al. (2014) Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. PLoS Comput Biol 10(12): e1003963. doi:10.1371/journal.pcbi.1003963 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003963 ;PMID: 25521294Full text available |
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16 |
Material Type: Article
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Modelling conformational state dynamics and its role on infection for SARS-CoV-2 Spike protein variantsPLoS computational biology, 2021-08, Vol.17 (8), p.e1009286-e1009286 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;2021 Teruel et al 2021 Teruel et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1009286 ;PMID: 34351895Full text available |
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17 |
Material Type: Article
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Self-loops in evolutionary graph theory: Friends or foes?PLoS computational biology, 2023-09, Vol.19 (9), p.e1011387-e1011387 [Peer Reviewed Journal]COPYRIGHT 2023 Public Library of Science ;2023 Sharma et al 2023 Sharma et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1011387 ;PMID: 37656739Full text available |
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18 |
Material Type: Article
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MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing DataPLoS computational biology, 2016-06, Vol.12 (6), p.e1004957-e1004957 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Huson DH, Beier S, Flade I, Górska A, El-Hadidi M, Mitra S, et al. (2016) MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data. PLoS Comput Biol 12(6): e1004957. doi:10.1371/journal.pcbi.1004957 ;2016 Huson et al 2016 Huson et al ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Huson DH, Beier S, Flade I, Górska A, El-Hadidi M, Mitra S, et al. (2016) MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data. PLoS Comput Biol 12(6): e1004957. doi:10.1371/journal.pcbi.1004957 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004957 ;PMID: 27327495Full text available |
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19 |
Material Type: Article
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An automated approach to the quantitation of vocalizations and vocal learning in the songbirdPLoS computational biology, 2018-08, Vol.14 (8), p.e1006437-e1006437 [Peer Reviewed Journal]2018 Mets, Brainard 2018 Mets, Brainard ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/JOURNAL.PCBI.1006437 ;PMID: 30169523Full text available |
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Material Type: Article
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Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning ModelPLoS computational biology, 2017-01, Vol.13 (1), p.e1005324-e1005324 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wang S, Sun S, Li Z, Zhang R, Xu J (2017) Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. PLoS Comput Biol 13(1): e1005324. doi:10.1371/journal.pcbi.1005324 ;2017 Wang et al 2017 Wang et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wang S, Sun S, Li Z, Zhang R, Xu J (2017) Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. PLoS Comput Biol 13(1): e1005324. doi:10.1371/journal.pcbi.1005324 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005324 ;PMID: 28056090Full text available |