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Atul Butte
Academic Appointments
Appointment
Organization
Member
Member
Graduate & Fellowship Program Affiliations
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Honors & Awards
Title
Organization
Date(s)
Tomorrow's Principal Investigator
Genome Technology Magazine
2007
HHMI Physician-Scientist Early Career Award
Howard Hughes Medical Institute
2006-2009
Research Starter Grant in Informatics
Pharmaceutical Research and Manufacturers of America Foundation
2006-2008
Outstanding Speaker Award
American Association for Clinical Chemistry
2003
Pathology Residents' Choice Award
Emory University School of Medicine
2003
Administrative Appointments
Title
Organization
Start Year
End Year
Director
Biomedical Informatics Scholarly Area
2007
-
Board of Directors
American Medical Informatics Association
2007
-
Scientific Program Committee
American Medical Informatics Association
2007
2007
Study Section Reviewer
NIH Biomedical Computing and Health Informatics Study Section
2005
-
Scientific Program Committee
American Medical Informatics Association
2005
2005
Professional Education
Degree
Awarding Institution
Field of Study
Year of Graduation
Ph.D.
HST, MIT, Harvard Medical School
Health Sciences and Technology
2004
M.S.
MIT
Medical Informatics
2002
Fellowship
Children's Hospital Boston
Pediatric Endocrinology
2001
Residency
Children's Hospital Boston
Pediatrics
1998
M.D.
Brown Univ. School of Medicine
-
1995
Research Interests
Translational bioinformatics has been defined as the development of analytic, storage, and interpretive methods to optimize the transformation of increasingly voluminous genomic and biological data into diagnostics and therapeutics for the clinician. The long-term research goal of the Butte Lab is to develop translational bioinformatics methods to reason over many available genome-scale measurement and experimental modalities, and apply these methods to study complex disorders in genomic medicine, especially obesity and type 2 diabetes mellitus.
The Butte Lab has three main directions in exploring translational bioinformatics. First, we have developed bioinformatics methods to integrate genomic, genetic, phenotypic, clinical, and gene-knockout data from multiple sources and phenotypes and reason over these data. Example of this method include our work on cancer drug discovery published in the Proceedings of the National Academy of Science (2000), on type 2 diabetes mellitus published in the Proceedings of the National Academy of Science (2003), on fat cell formation published in Nature Cell Biology (2005), and on obesity in Bioinformatics (2007). Second, we have developed tools to automatically index and find genomic and proteomic data sets based on the phenotypic and contextual details of each experiment. We used these tools to create a comprehensive phenome-genome network published in Nature Biotechnology (2006). Third, we are building a novel gene-expression-based classification scheme for diseases across the entire field of medicine, using both molecular and clinical measurements. Initial work on this is in Nature Methods (2007), and was presented at the AMIA Fall Symposium (2007), and Pacific Symposium on Biocomputing (2008), and in the New York Times (5/6/2008).
Publications
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Dudley J,
Butte AJ
"Enabling integrative genomic analysis of high-impact human diseases through text mining."
Pac Symp Biocomput
2008;
580-91
More »
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Chen DP,
Weber SC, Constantinou PS, Ferris TA, Lowe HJ, Butte AJ
"Novel integration of hospital electronic medical records and gene expression measurements to identify genetic markers of maturation."
Pac Symp Biocomput
2008;
243-54
More »
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Butte AJ,
"Medicine. The ultimate model organism."
Science
2008;
320:
5874:
325-7
More »
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English SB,
Butte AJ
"Evaluation and Integration of 49 Genome-wide Experiments and the Prediction of Previously Unknown Obesity-related Genes."
Bioinformatics
2007;
More »
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Chen R,
Li L, Butte AJ
"AILUN: reannotating gene expression data automatically."
Nat Methods
2007;
4:
11:
879
More »
