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Results 1 - 20 of 1,181,105  for All Library Resources

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1
Aboriginal artefacts on the continental shelf reveal ancient drowned cultural landscapes in northwest Australia
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Aboriginal artefacts on the continental shelf reveal ancient drowned cultural landscapes in northwest Australia

PloS 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: 32609779

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2
Proposing candidate genes under telomeric control based on cross-species position data
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Proposing candidate genes under telomeric control based on cross-species position data

NAR genomics and bioinformatics, 2024-06, Vol.6 (2), p.lqae037-lqae037 [Peer Reviewed Journal]

The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. ;The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. 2024 ;EISSN: 2631-9268 ;DOI: 10.1093/nargab/lqae037 ;PMID: 38666215

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3
Microbiome compositional data analysis for survival studies
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Microbiome compositional data analysis for survival studies

NAR genomics and bioinformatics, 2024-06, Vol.6 (2), p.lqae038-lqae038 [Peer Reviewed Journal]

The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. ;The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. 2024 ;EISSN: 2631-9268 ;DOI: 10.1093/nargab/lqae038 ;PMID: 38666212

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4
CWGCNA : an R package to perform causal inference from the WGCNA framework
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CWGCNA : an R package to perform causal inference from the WGCNA framework

NAR genomics and bioinformatics, 2024-06, Vol.6 (2), p.lqae042-lqae042 [Peer Reviewed Journal]

The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. ;The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. 2024 ;EISSN: 2631-9268 ;DOI: 10.1093/nargab/lqae042 ;PMID: 38666214

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5
Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads
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Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

PLoS 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: 28594827

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6
APTAnet: an atom-level peptide-TCR interaction affinity prediction model
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APTAnet: an atom-level peptide-TCR interaction affinity prediction model

Biophysics reports, 2024-02, Vol.10 (1), p.1-14 [Peer Reviewed Journal]

The Author(s) 2024. ;The Author(s) 2024 2024 The Author(s) ;ISSN: 2364-3439 ;EISSN: 2364-3420 ;DOI: 10.52601/bpr.2023.230037 ;PMID: 38737473

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7
A novel optimized pre-embedding antibody-labelling correlative light electron microscopy technique
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A novel optimized pre-embedding antibody-labelling correlative light electron microscopy technique

Access microbiology, 2024, Vol.6 (2) [Peer Reviewed Journal]

2024 The Authors. ;2024 The Authors 2024 ;EISSN: 2516-8290 ;DOI: 10.1099/acmi.0.000750.v3 ;PMID: 38482358

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8
Cell-free chromatin immunoprecipitation to detect molecular pathways in heart transplantation
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Cell-free chromatin immunoprecipitation to detect molecular pathways in heart transplantation

Life science alliance, 2023-12, Vol.6 (12), p.e202302003 [Peer Reviewed Journal]

2023 Jang et al. 2023 ;ISSN: 2575-1077 ;EISSN: 2575-1077 ;DOI: 10.26508/lsa.202302003 ;PMID: 37730434

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9
Searching for Strep A in the clinical environment during a human challenge trial: a sub-study protocol
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Searching for Strep A in the clinical environment during a human challenge trial: a sub-study protocol

Access microbiology, 2023-09, Vol.5 (9) [Peer Reviewed Journal]

2023 The Authors 2023 ;ISSN: 2516-8290 ;EISSN: 2516-8290 ;DOI: 10.1099/acmi.0.000650.v3

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10
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

PloS 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: 28945803

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11
CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics
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CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics

Nucleic acids research, 2021-01, Vol.49 (D1), p.D1083-D1093 [Peer Reviewed Journal]

Published by Oxford University Press on behalf of Nucleic Acids Research 2020. 2021 ;Published by Oxford University Press on behalf of Nucleic Acids Research 2020. ;ISSN: 0305-1048 ;EISSN: 1362-4962 ;DOI: 10.1093/nar/gkaa968 ;PMID: 33196823

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12
Arena3Dweb: interactive 3D visualization of multilayered networks supporting multiple directional information channels, clustering analysis and application integration
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Article
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Arena3Dweb: interactive 3D visualization of multilayered networks supporting multiple directional information channels, clustering analysis and application integration

NAR genomics and bioinformatics, 2023-06, Vol.5 (2), p.lqad053-lqad053 [Peer Reviewed Journal]

The Author(s) 2023. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. 2023 ;EISSN: 2631-9268 ;DOI: 10.1093/nargab/lqad053

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13
DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning
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DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning

PLoS 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: 32282792

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14
Neoadjuvant chemoradiotherapy plus surgery versus active surveillance for oesophageal cancer: a stepped-wedge cluster randomised trial
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Article
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Neoadjuvant chemoradiotherapy plus surgery versus active surveillance for oesophageal cancer: a stepped-wedge cluster randomised trial

BMC cancer, 2018-02, Vol.18 (1), p.142-12, Article 142 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;The Author(s). 2018 ;ISSN: 1471-2407 ;EISSN: 1471-2407 ;DOI: 10.1186/s12885-018-4034-1 ;PMID: 29409469

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15
Investigating Klebsiella pneumoniae biofilm preservation for scanning electron microscopy
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Article
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Investigating Klebsiella pneumoniae biofilm preservation for scanning electron microscopy

Access microbiology, 2023-02, Vol.5 (2) [Peer Reviewed Journal]

2023 The Authors. ;2023 The Authors 2023 ;ISSN: 2516-8290 ;EISSN: 2516-8290 ;DOI: 10.1099/acmi.0.000470.v3 ;PMID: 36910511

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16
Ergosterol extraction: a comparison of methodologies
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Article
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Ergosterol extraction: a comparison of methodologies

Access microbiology, 2023, Vol.5 (4) [Peer Reviewed Journal]

2023 The Authors. ;2023 The Authors 2023 ;ISSN: 2516-8290 ;EISSN: 2516-8290 ;DOI: 10.1099/acmi.0.000490.v4 ;PMID: 37223062

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17
A method for measurement of human asparagine synthetase (ASNS) activity and application to ASNS protein variants associated with ASNS deficiency
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Article
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A method for measurement of human asparagine synthetase (ASNS) activity and application to ASNS protein variants associated with ASNS deficiency

Biology methods and protocols, 2023, Vol.8 (1), p.bpad026-bpad026 [Peer Reviewed Journal]

The Author(s) 2023. Published by Oxford University Press. 2023 ;The Author(s) 2023. Published by Oxford University Press. ;ISSN: 2396-8923 ;EISSN: 2396-8923 ;DOI: 10.1093/biomethods/bpad026 ;PMID: 37965492

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18
A guide to Agrobacterium -mediated transformation of the chytrid fungus Spizellomyces punctatus
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Article
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A guide to Agrobacterium -mediated transformation of the chytrid fungus Spizellomyces punctatus

Access microbiology, 2023, Vol.5 (5) [Peer Reviewed Journal]

2023 The Authors. ;2023 The Authors 2023 ;ISSN: 2516-8290 ;EISSN: 2516-8290 ;DOI: 10.1099/acmi.0.000566.v3 ;PMID: 37323946

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19
Workflow for high-dimensional flow cytometry analysis of T cells from tumor metastases
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Workflow for high-dimensional flow cytometry analysis of T cells from tumor metastases

Life science alliance, 2022-10, Vol.5 (10), p.e202101316 [Peer Reviewed Journal]

2022 Faccani et al. 2022 ;ISSN: 2575-1077 ;EISSN: 2575-1077 ;DOI: 10.26508/lsa.202101316 ;PMID: 35724271

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20
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
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Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

PLoS 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: 27814364

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