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Items: 4

1.

Longitudinal whole genome analysis of pre and post drug treatment Mycobacterium tuberculosis isolates reveals progressive steps to drug resistance.

Datta G, Nieto LM, Davidson RM, Mehaffy C, Pederson C, Dobos KM, Strong M.

Tuberculosis (Edinb). 2016 May;98:50-5. doi: 10.1016/j.tube.2016.02.004. Epub 2016 Feb 26.

2.

MycoBASE: expanding the functional annotation coverage of mycobacterial genomes.

Garcia BJ, Datta G, Davidson RM, Strong M.

BMC Genomics. 2015 Dec 24;16:1102. doi: 10.1186/s12864-015-2311-9.

3.

Blood Transcriptional Biomarkers for Active Tuberculosis among Patients in the United States: a Case-Control Study with Systematic Cross-Classifier Evaluation.

Walter ND, Miller MA, Vasquez J, Weiner M, Chapman A, Engle M, Higgins M, Quinones AM, Rosselli V, Canono E, Yoon C, Cattamanchi A, Davis JL, Phang T, Stearman RS, Datta G, Garcia BJ, Daley CL, Strong M, Kechris K, Fingerlin TE, Reves R, Geraci MW.

J Clin Microbiol. 2016 Feb;54(2):274-82. doi: 10.1128/JCM.01990-15. Epub 2015 Nov 18.

4.

Network and matrix analysis of the respiratory disease interactome.

Garcia B, Datta G, Cosgrove GP, Strong M.

BMC Syst Biol. 2014 Mar 22;8:34. doi: 10.1186/1752-0509-8-34.

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