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BMC Bioinformatics
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May 18, 2021
Learning curves for drug response prediction in cancer cell lines
Alexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports
|
January 12, 2018
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae
Marcus Nguyen, Thomas Brettin, S Wesley Long, et al.
Scientific Reports
|
February 6, 2023
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection
Austin Clyde, Xuefeng Liu, Thomas Brettin, et al.
Scientific Reports
|
June 15, 2016
Antimicrobial Resistance Prediction in PATRIC and RAST
James J Davis, Sébastien Boisvert, Thomas Brettin, et al.
BMC Bioinformatics
|
December 23, 2018
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research
Justin M Wozniak, Rajeev Jain, Prasanna Balaprakash, et al.
BMC Bioinformatics
|
December 23, 2018
Predicting tumor cell line response to drug pairs with deep learning
Fangfang Xia, Maulik Shukla, Thomas Brettin, et al.
Mbio
|
April 18, 2019
Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
Ana Georgina Cobián Güemes, Yan Wei Lim, Robert A Quinn, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 27, 2017
Assembly, Annotation, and Comparative Genomics in PATRIC, the All Bacterial Bioinformatics Resource Center
Alice R Wattam, Thomas Brettin, James J Davis, et al.
Scientific Reports
|
February 11, 2015
RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes
Thomas Brettin, James J Davis, Terry Disz, et al.
Standards in Genomic Sciences
|
June 8, 2012
Complete genome sequence of Parvibaculum lavamentivorans type strain (DS-1(T))
David Schleheck, Michael Weiss, Sam Pitluck, et al.
Page
of 12
Search research articles
Search
Showing results (21-30 of 115) with videos related to
Sort By:
Page
of 12
BMC Bioinformatics
|
May 18, 2021
Learning curves for drug response prediction in cancer cell lines
Alexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports
|
January 12, 2018
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae
Marcus Nguyen, Thomas Brettin, S Wesley Long, et al.
Scientific Reports
|
February 6, 2023
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection
Austin Clyde, Xuefeng Liu, Thomas Brettin, et al.
Scientific Reports
|
June 15, 2016
Antimicrobial Resistance Prediction in PATRIC and RAST
James J Davis, Sébastien Boisvert, Thomas Brettin, et al.
BMC Bioinformatics
|
December 23, 2018
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research
Justin M Wozniak, Rajeev Jain, Prasanna Balaprakash, et al.
BMC Bioinformatics
|
December 23, 2018
Predicting tumor cell line response to drug pairs with deep learning
Fangfang Xia, Maulik Shukla, Thomas Brettin, et al.
Mbio
|
April 18, 2019
Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
Ana Georgina Cobián Güemes, Yan Wei Lim, Robert A Quinn, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 27, 2017
Assembly, Annotation, and Comparative Genomics in PATRIC, the All Bacterial Bioinformatics Resource Center
Alice R Wattam, Thomas Brettin, James J Davis, et al.
Scientific Reports
|
February 11, 2015
RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes
Thomas Brettin, James J Davis, Terry Disz, et al.
Standards in Genomic Sciences
|
June 8, 2012
Complete genome sequence of Parvibaculum lavamentivorans type strain (DS-1(T))
David Schleheck, Michael Weiss, Sam Pitluck, et al.
Page
of 12