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Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.

R. Olson, R. Assaf, T. Brettin, N. Conrad, C. Cucinell, J. Davis, D. Dempsey, A. Dickerman, E. Dietrich, R. Kenyon, M. Kuscuoglu, E. Lefkowitz, J. Lu, D. Machi, C. Macken, C. Mao, A. Niewiadomska, M. Nguyen, G. Olsen, J. Overbeek, B. Parrello, V. Parrello, J. s Porter, G. Pusch, M. Shukla, I. Singh, L. Stewart, G. Tan, C. Thomas, M. VanOeffelen, V. Vonstein, Z. Wallace, A. Warren, A. Wattam, F. Xia, H. Yoo, Y. Zhang, C. Zmasek, R. Scheuermann, and R. Stevens. Nucleic Acids Res., 51 (D1): 678-689 (January 2023)

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Michael Brettin

Thomas S Rau

Thomas S Eberle

Thomas S Mir

Thomas S Hoffmeister

Other publications of authors with the same name

A novel approach to high throughput microbial genome finishing: Incorporation of 454 sequence data for gap closure in low quality Sanger data.A. Kewalramani, R. Arnaudville, C. Han, O. Chertkov, and T. Brettin. BIOCOMP, page 169-174. CSREA Press, (2007)SVDMAN-singular value decomposition analysis of microarray data.M. Wall, P. Dyck, and T. Brettin. Bioinform., 17 (6): 566-568 (2001)A cross-study analysis of drug response prediction in cancer cell lines.F. Xia, J. Allen, P. Balaprakash, T. Brettin, C. Garcia-Cardona, A. Clyde, J. Cohn, J. Doroshow, X. Duan, V. Dubinkina and 14 other author(s). Briefings Bioinform., (2022)Predicting tumor cell line response to drug pairs with deep learning.F. Xia, M. Shukla, T. Brettin, C. Garcia-Cardona, J. Cohn, J. Allen, S. Maslov, S. Holbeck, J. Doroshow, Y. Evrard and 2 other author(s). BMC Bioinform., 19-S (18): 71-79 (2018)Deep learning methods for drug response prediction in cancer: predominant and emerging trends.A. Partin, T. Brettin, Y. Zhu, O. Narykov, A. Clyde, J. Overbeek, and R. Stevens. CoRR, (2022)Learning Curves for Drug Response Prediction in Cancer Cell Lines.A. Partin, T. Brettin, Y. Evrard, Y. Zhu, H. Yoo, F. Xia, S. Jiang, A. Clyde, M. Shukla, M. Fonstein and 2 other author(s). CoRR, (2020)High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response.J. Wozniak, H. Yoo, J. Mohd-Yusof, B. Nicolae, N. Collier, J. Ozik, T. Brettin, and R. Stevens. MLHPC/AI4S@SC, page 40-49. IEEE, (2020)Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.Y. Wu, N. Choma, A. Chen, M. Cashman, É. Prates, V. Vergara, M. Shah, A. Clyde, T. Brettin, W. de Jong and 6 other author(s). ICLR, OpenReview.net, (2022)RegPrecise web services interface: programmatic access to the transcriptional regulatory interactions in bacteria reconstructed by comparative genomics.P. Novichkov, T. Brettin, E. Novichkova, P. Dehal, A. Arkin, I. Dubchak, and D. Rodionov. Nucleic Acids Res., 40 (Web-Server-Issue): 604-608 (2012)High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.A. Clyde, S. Galanie, D. Kneller, H. Ma, Y. Babuji, B. Blaiszik, A. Brace, T. Brettin, K. Chard, R. Chard and 20 other author(s). J. Chem. Inf. Model., 62 (1): 116-128 (2022)

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Disambiguation of "Brettin, Thomas S."

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Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.

Please choose a person to relate this publication to

Michael Brettin

Thomas S Rau

Thomas S Eberle

Thomas S Mir

Thomas S Hoffmeister

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Brettin, Thomas S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.

Please choose a person to relate this publication to

Michael Brettin

Thomas S Rau

Thomas S Eberle

Thomas S Mir

Thomas S Hoffmeister

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.