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1 |
Material Type: Article
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Aboriginal artefacts on the continental shelf reveal ancient drowned cultural landscapes in northwest AustraliaPloS one, 2020-07, Vol.15 (7), p.e0233912 [Peer Reviewed Journal]COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Benjamin 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 Benjamin et al 2020 Benjamin et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0233912 ;PMID: 32609779Full text available |
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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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Material Type: Article
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sitesPloS one, 2017-09, Vol.12 (9), p.e0184661-e0184661 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Esteban 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. ;2017 Esteban et al 2017 Esteban et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0184661 ;PMID: 28945803Full text available |
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Material Type: Article
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DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learningPLoS computational biology, 2020-04, Vol.16 (4), p.e1007673-e1007673 [Peer Reviewed Journal]COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Lugagne 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 Lugagne et al 2020 Lugagne et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007673 ;PMID: 32282792Full text available |
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Material Type: Article
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Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging ExperimentsPLoS computational biology, 2016-11, Vol.12 (11), p.e1005177-e1005177 [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: Van Valen DA, Kudo T, Lane KM, Macklin DN, Quach NT, DeFelice MM, et al. (2016) Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. PLoS Comput Biol 12(11): e1005177. doi:10.1371/journal.pcbi.1005177 ;2016 Van Valen et al 2016 Van Valen 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: Van Valen DA, Kudo T, Lane KM, Macklin DN, Quach NT, DeFelice MM, et al. (2016) Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. PLoS Comput Biol 12(11): e1005177. doi:10.1371/journal.pcbi.1005177 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005177 ;PMID: 27814364Full text available |
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Material Type: Article
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Fast online deconvolution of calcium imaging dataPLoS computational biology, 2017-03, Vol.13 (3), p.e1005423-e1005423 [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: Friedrich J, Zhou P, Paninski L (2017) Fast online deconvolution of calcium imaging data. PLoS Comput Biol 13(3): e1005423. https://doi.org/10.1371/journal.pcbi.1005423 ;2017 Friedrich et al 2017 Friedrich 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: Friedrich J, Zhou P, Paninski L (2017) Fast online deconvolution of calcium imaging data. PLoS Comput Biol 13(3): e1005423. https://doi.org/10.1371/journal.pcbi.1005423 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005423 ;PMID: 28291787Full text available |
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Material Type: Article
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Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing MapsPLoS computational biology, 2019-11, Vol.15 (11), p.e1006555-e1006555 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;2019 Jansen 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 Jansen et al 2019 Jansen et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006555 ;PMID: 31682608Full text available |
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Material Type: Article
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Apollo: Democratizing genome annotationPLoS computational biology, 2019-02, Vol.15 (2), p.e1006790-e1006790 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Dunn 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 Dunn et al 2019 Dunn et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006790 ;PMID: 30726205Full text available |
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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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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 |
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Material Type: Article
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Transcriptomics technologiesPLoS computational biology, 2017-05, Vol.13 (5), p.e1005457-e1005457 [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: Lowe R, Shirley N, Bleackley M, Dolan S, Shafee T (2017) Transcriptomics technologies. PLoS Comput Biol 13(5): e1005457. https://doi.org/10.1371/journal.pcbi.1005457 ;2017 Lowe et al 2017 Lowe 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: Lowe R, Shirley N, Bleackley M, Dolan S, Shafee T (2017) Transcriptomics technologies. PLoS Comput Biol 13(5): e1005457. https://doi.org/10.1371/journal.pcbi.1005457 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005457 ;PMID: 28545146Full text available |
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Material Type: Article
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SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq DataPloS one, 2016-06, Vol.11 (6), p.e0157022-e0157022 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Varet 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. ;Attribution ;2016 Varet et al 2016 Varet et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0157022 ;PMID: 27280887Full text available |
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Material Type: Article
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Polypolish: Short-read polishing of long-read bacterial genome assembliesPLoS computational biology, 2022-01, Vol.18 (1), p.e1009802-e1009802 [Peer Reviewed Journal]COPYRIGHT 2022 Public Library of Science ;2022 Wick, Holt. 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 Wick, Holt 2022 Wick, Holt ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1009802 ;PMID: 35073327Full text available |
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Material Type: Article
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Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON dataPloS one, 2020-02, Vol.15 (2), p.e0228899 [Peer Reviewed Journal]2020 Brumfield 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 Brumfield et al 2020 Brumfield et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0228899 ;PMID: 32053657Full text available |
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Material Type: Article
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Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studiesPLoS computational biology, 2017-01, Vol.13 (1), p.e1005357-e1005357 [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: Tamba CL, Ni Y-L, Zhang Y-M (2017) Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies. PLoS Comput Biol 13(1): e1005357. doi:10.1371/journal.pcbi.1005357 ;2017 Tamba et al 2017 Tamba 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: Tamba CL, Ni Y-L, Zhang Y-M (2017) Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies. PLoS Comput Biol 13(1): e1005357. doi:10.1371/journal.pcbi.1005357 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005357 ;PMID: 28141824Full text available |
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Material Type: Article
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A novel network control model for identifying personalized driver genes in cancerPLoS computational biology, 2019-11, Vol.15 (11), p.e1007520-e1007520 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;2019 Guo 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 Guo et al 2019 Guo et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1007520 ;PMID: 31765387Full text available |
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Material Type: Article
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Leveraging functional annotations in genetic risk prediction for human complex diseasesPLoS computational biology, 2017-06, Vol.13 (6), p.e1005589-e1005589 [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: Hu Y, Lu Q, Powles R, Yao X, Yang C, Fang F, et al. (2017) Leveraging functional annotations in genetic risk prediction for human complex diseases. PLoS Comput Biol 13(6): e1005589. https://doi.org/10.1371/journal.pcbi.1005589 ;2017 Hu et al 2017 Hu 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: Hu Y, Lu Q, Powles R, Yao X, Yang C, Fang F, et al. (2017) Leveraging functional annotations in genetic risk prediction for human complex diseases. PLoS Comput Biol 13(6): e1005589. https://doi.org/10.1371/journal.pcbi.1005589 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005589 ;PMID: 28594818Full text available |
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Material Type: Article
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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategyPloS one, 2020-12, Vol.15 (12), p.e0243219-e0243219 [Peer Reviewed Journal]COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Scherr 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 Scherr et al 2020 Scherr et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0243219 ;PMID: 33290432Full text available |
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Material Type: Article
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A comprehensive atlas of white matter tracts in the chimpanzeePLoS biology, 2020-12, Vol.18 (12), p.e3000971-e3000971 [Peer Reviewed Journal]2020 Bryant 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 Bryant et al 2020 Bryant et al ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.3000971 ;PMID: 33383575Full text available |
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Material Type: Article
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Development of a multiplex Loop-Mediated Isothermal Amplification (LAMP) assay for on-site diagnosis of SARS CoV-2PloS one, 2021-03, Vol.16 (3), p.e0248042-e0248042 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Jang et al 2021 Jang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0248042 ;PMID: 33657176Full text available |