Language:

Results 1 - 20 of 96 for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method

Results 1 2 3 4 5

Refined by: Journal Title: Plos Computational Biology

language: Japanese

Result Number	Material Type	Record Details and Options
1	Material Type: Article	Propagating annotations of molecular networks using in silico fragmentation PLoS computational biology, 2018-04, Vol.14 (4), p.e1006089-e1006089 [Peer Reviewed Journal] COPYRIGHT 2018 Public Library of Science ;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: fragmentation. PLoS Comput Biol 14(4): e1006089. https://doi.org/10.1371/journal.pcbi.1006089 ;2018 da Silva et al 2018 da Silva et al ;Wageningen University & Research ;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: fragmentation. PLoS Comput Biol 14(4): e1006089. https://doi.org/10.1371/journal.pcbi.1006089 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006089 ;PMID: 29668671 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	BEAST 2: a software platform for Bayesian evolutionary analysis PLoS 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: 24722319 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data PLoS computational biology, 2020-09, Vol.16 (9), p.e1008173-e1008173 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Kim et al 2020 Kim et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1008173 ;PMID: 32946435 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Metacoder: An R package for visualization and manipulation of community taxonomic diversity data PLoS computational biology, 2017-02, Vol.13 (2), p.e1005404-e1005404 [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: Foster ZSL, Sharpton TJ, Grünwald NJ (2017) Metacoder: An R package for visualization and manipulation of community taxonomic diversity data. PLoS Comput Biol 13(2): e1005404. doi:10.1371/journal.pcbi.1005404 ;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: Foster ZSL, Sharpton TJ, Grünwald NJ (2017) Metacoder: An R package for visualization and manipulation of community taxonomic diversity data. PLoS Comput Biol 13(2): e1005404. doi:10.1371/journal.pcbi.1005404 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005404 ;PMID: 28222096 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Reactome graph database: Efficient access to complex pathway data PLoS computational biology, 2018-01, Vol.14 (1), p.e1005968-e1005968 [Peer Reviewed Journal] COPYRIGHT 2018 Public Library of Science ;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: Fabregat A, Korninger F, Viteri G, Sidiropoulos K, Marin-Garcia P, Ping P, et al. (2018) Reactome graph database: Efficient access to complex pathway data. PLoS Comput Biol 14(1): e1005968. https://doi.org/10.1371/journal.pcbi.1005968 ;2018 Fabregat et al 2018 Fabregat et al ;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: Fabregat A, Korninger F, Viteri G, Sidiropoulos K, Marin-Garcia P, Ping P, et al. (2018) Reactome graph database: Efficient access to complex pathway data. PLoS Comput Biol 14(1): e1005968. https://doi.org/10.1371/journal.pcbi.1005968 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005968 ;PMID: 29377902 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar PLoS computational biology, 2022-05, Vol.18 (5), p.e1009123-e1009123 [Peer Reviewed Journal] COPYRIGHT 2022 Public Library of Science ;2022 Garrison et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Garrison et al 2022 Garrison et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1009123 ;PMID: 35639788 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks PLoS computational biology, 2017-01, Vol.13 (1), p.e1005331-e1005331 [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: Fröhlich F, Kaltenbacher B, Theis FJ, Hasenauer J (2017) Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks. PLoS Comput Biol 13(1): e1005331. doi:10.1371/journal.pcbi.1005331 ;2017 Fröhlich et al 2017 Fröhlich 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: Fröhlich F, Kaltenbacher B, Theis FJ, Hasenauer J (2017) Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks. PLoS Comput Biol 13(1): e1005331. doi:10.1371/journal.pcbi.1005331 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005331 ;PMID: 28114351 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits PLoS computational biology, 2020-11, Vol.16 (11), p.e1008386-e1008386 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;2020 Dai et al 2020 Dai et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1008386 ;PMID: 33253147 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature PLoS computational biology, 2010-07, Vol.6 (7), p.e1000837 [Peer Reviewed Journal] COPYRIGHT 2010 Public Library of Science ;COPYRIGHT 2010 Public Library of Science ;Tikk et al. 2010 ;2010 Tikk 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: Tikk D, Thomas P, Palaga P, Hakenberg J, Leser U (2010) A Comprehensive Benchmark of Kernel Methods to Extract Protein-Protein Interactions from Literature. PLoS Comput Biol 6(7): e1000837. doi:10.1371/journal.pcbi.1000837 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000837 ;PMID: 20617200 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	CNEr: A toolkit for exploring extreme noncoding conservation PLoS computational biology, 2019-08, Vol.15 (8), p.e1006940-e1006940 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Tan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Tan et al 2019 Tan et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006940 ;PMID: 31449516 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Towards a category theory approach to analogy: Analyzing re-representation and acquisition of numerical knowledge PLoS computational biology, 2017-08, Vol.13 (8), p.e1005683-e1005683 [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: Navarrete JA, Dartnell P (2017) Towards a category theory approach to analogy: Analyzing re-representation and acquisition of numerical knowledge. PLoS Comput Biol 13(8): e1005683. https://doi.org/10.1371/journal.pcbi.1005683 ;2017 Navarrete, Dartnell 2017 Navarrete, Dartnell ;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: Navarrete JA, Dartnell P (2017) Towards a category theory approach to analogy: Analyzing re-representation and acquisition of numerical knowledge. PLoS Comput Biol 13(8): e1005683. https://doi.org/10.1371/journal.pcbi.1005683 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005683 ;PMID: 28841643 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	The layer-oriented approach to declarative languages for biological modeling PLoS computational biology, 2012-05, Vol.8 (5), p.e1002521-e1002521 [Peer Reviewed Journal] COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Raikov, De Schutter. 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: Raikov I, De Schutter E (2012) The Layer-Oriented Approach to Declarative Languages for Biological Modeling. PLoS Comput Biol 8(5): e1002521. doi:10.1371/journal.pcbi.1002521 ;Raikov, De Schutter. 2012 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1002521 ;PMID: 22615554 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Making informed choices about microarray data analysis PLoS computational biology, 2010-05, Vol.6 (5), p.e1000786-e1000786 [Peer Reviewed Journal] COPYRIGHT 2010 Public Library of Science ;COPYRIGHT 2010 Public Library of Science ;Mark Reimers. 2010 ;2010 Mark Reimers. 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: Reimers M (2010) Making Informed Choices about Microarray Data Analysis. PLoS Comput Biol 6(5): e1000786. doi:10.1371/journal.pcbi.1000786 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000786 ;PMID: 20523743 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	The dynamic brain: from spiking neurons to neural masses and cortical fields PLoS computational biology, 2008-08, Vol.4 (8), p.e1000092-e1000092 [Peer Reviewed Journal] COPYRIGHT 2008 Public Library of Science ;Deco et al. 2008 ;2008 Deco 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: Deco G, Jirsa VK, Robinson PA, Breakspear M, Friston K (2008) The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Comput Biol 4(8): e1000092. doi:10.1371/journal.pcbi.1000092 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000092 ;PMID: 18769680 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	The FACTS model of speech motor control: Fusing state estimation and task-based control PLoS computational biology, 2019-09, Vol.15 (9), p.e1007321-e1007321 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Parrell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Parrell et al 2019 Parrell et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007321 ;PMID: 31479444 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Machine learning and its applications to biology PLoS computational biology, 2007-06, Vol.3 (6), p.e116-e116 [Peer Reviewed Journal] COPYRIGHT 2007 Public Library of Science ;2007 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: Citation: Tarca AL, Carey VJ, Chen X-w, Romero R, Dr?ghici S (2007) Machine Learning and Its Applications to Biology. PLoS Comput Biol 3(6): e116. doi:10.1371/journal.pcbi.0030116 ;This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 2007 ;2007 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: Citation: Tarca AL, Carey VJ, Chen X-w, Romero R, Dr?ghici S (2007) Machine Learning and Its Applications to Biology. PLoS Comput Biol 3(6): e116. doi:10.1371/journal.pcbi.0030116 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.0030116 ;PMID: 17604446 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Nonnegative matrix factorization: an analytical and interpretive tool in computational biology PLoS computational biology, 2008-07, Vol.4 (7), p.e1000029-e1000029 [Peer Reviewed Journal] COPYRIGHT 2008 Public Library of Science ;Karthik Devarajan. 2008 ;2008 Karthik Devarajan. 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: Devarajan K (2008) Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology. PLoS Comput Biol 4(7): e1000029. doi:10.1371/journal.pcbi.1000029 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000029 ;PMID: 18654623 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis PLoS computational biology, 2019-04, Vol.15 (4), p.e1006650-e1006650 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Bouckaert et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Bouckaert et al 2019 Bouckaert et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006650 ;PMID: 30958812 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans PLoS computational biology, 2015-04, Vol.11 (4), p.e1004194-e1004194 [Peer Reviewed Journal] COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Zhan et al 2015 Zhan et al ;2015 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: . PLoS Comput Biol 11(4): e1004194. doi:10.1371/journal.pcbi.1004194 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004194 ;PMID: 25910032 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Software for computing and annotating genomic ranges PLoS computational biology, 2013-08, Vol.9 (8), p.e1003118-e1003118 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Lawrence et al 2013 Lawrence et al ;2013 Lawrence 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: Lawrence M, Huber W, Pagès H, Aboyoun P, Carlson M, et al. (2013) Software for Computing and Annotating Genomic Ranges. PLoS Comput Biol 9(8): e1003118. doi:10.1371/journal.pcbi.1003118 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1003118 ;PMID: 23950696 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by