Robert Gentleman

Robert Gentleman, PhD

Executive Director, Center for Computational Biomedicine
Professor of the Practice in the Department of Biomedical Informatics
HMS Center for Computational Biomedicine

Robert Gentleman is the founding executive director of Harvard Medical School’s Center for Computational Biomedicine. An accomplished statistician and bioinformatician, Dr. Gentleman is one of the creators of the R programming language and a founder of the Bioconductor project, an open-source collaborative software tool to promote statistical analysis of biological data. He has served as vice president of 23andMe, where he helped launch their therapeutic division, and as senior director for bioinformatics and computational biology at Genentech. He was head of computational biology at the Fred Hutchinson Cancer Research Center and held academic positions at Harvard University, University of Auckland and the University of Waterloo. Dr. Gentleman’s research interests are related to genomics, machine learning, data visualization, and the application of statistical and computational methods to study human disease.

Orchestrating high-throughput genomic analysis with Bioconductor.
Authors: Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oles AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M.
Nat Methods
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Discriminative motif analysis of high-throughput dataset.
Authors: Yao Z, Macquarrie KL, Fong AP, Tapscott SJ, Ruzzo WL, Gentleman RC.
Bioinformatics
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Integrative analysis of two cell lines derived from a non-small-lung cancer patient--a panomics approach.
Authors: Mayba O, Gnad F, Peyton M, Zhang F, Walter K, Du P, Huntley MA, Jiang Z, Liu J, Haverty PM, Gentleman RC, Li R, Minna JD, Li Y, Shames DS, Zhang Z.
Pac Symp Biocomput
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gCMAP: user-friendly connectivity mapping with R.
Authors: Sandmann T, Kummerfeld SK, Gentleman R, Bourgon R.
Bioinformatics
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The anatomy of successful computational biology software.
Authors: Altschul S, Demchak B, Durbin R, Gentleman R, Krzywinski M, Li H, Nekrutenko A, Robinson J, Rasband W, Taylor J, Trapnell C.
Nat Biotechnol
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Comparison of endogenous and overexpressed MyoD shows enhanced binding of physiologically bound sites.
Authors: Yao Z, Fong AP, Cao Y, Ruzzo WL, Gentleman RC, Tapscott SJ.
Skelet Muscle
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Software for computing and annotating genomic ranges.
Authors: Lawrence M, Huber W, Pagès H, Aboyoun P, Carlson M, Gentleman R, Morgan MT, Carey VJ.
PLoS Comput Biol
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Genome and transcriptome sequencing of lung cancers reveal diverse mutational and splicing events.
Authors: Liu J, Lee W, Jiang Z, Chen Z, Jhunjhunwala S, Haverty PM, Gnad F, Guan Y, Gilbert HN, Stinson J, Klijn C, Guillory J, Bhatt D, Vartanian S, Walter K, Chan J, Holcomb T, Dijkgraaf P, Johnson S, Koeman J, Minna JD, Gazdar AF, Stern HM, Hoeflich KP, Wu TD, Settleman J, de Sauvage FJ, Gentleman RC, Neve RM, Stokoe D, Modrusan Z, Seshagiri S, Shames DS, Zhang Z.
Genome Res
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Comprehensive genomic analysis identifies SOX2 as a frequently amplified gene in small-cell lung cancer.
Authors: Rudin CM, Durinck S, Stawiski EW, Poirier JT, Modrusan Z, Shames DS, Bergbower EA, Guan Y, Shin J, Guillory J, Rivers CS, Foo CK, Bhatt D, Stinson J, Gnad F, Haverty PM, Gentleman R, Chaudhuri S, Janakiraman V, Jaiswal BS, Parikh C, Yuan W, Zhang Z, Koeppen H, Wu TD, Stern HM, Yauch RL, Huffman KE, Paskulin DD, Illei PB, Varella-Garcia M, Gazdar AF, de Sauvage FJ, Bourgon R, Minna JD, Brock MV, Seshagiri S.
Nat Genet
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Recurrent R-spondin fusions in colon cancer.
Authors: Seshagiri S, Stawiski EW, Durinck S, Modrusan Z, Storm EE, Conboy CB, Chaudhuri S, Guan Y, Janakiraman V, Jaiswal BS, Guillory J, Ha C, Dijkgraaf GJ, Stinson J, Gnad F, Huntley MA, Degenhardt JD, Haverty PM, Bourgon R, Wang W, Koeppen H, Gentleman R, Starr TK, Zhang Z, Largaespada DA, Wu TD, de Sauvage FJ.
Nature
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