Bo Peng, Ph.D.
Associate Professor
Positions
- Associate Professor
-
Medicine - Epidemiology & Population Science
Baylor College of Medicine
- Assistant Professor
-
Bioinformatics and Computational Biology
UT MD Anderson Cancer Center
Houston, Texas, United States
Education
- MS from University of Houston
- 06/2001 - Houston, Texas, United States
- PhD from Rice University
- 06/2006 - Houston, Texas, United States
Professional Statement
Dr. Peng’s specialties include genetic simulations, epidemiological association analysis, and bioinformatic and next-generation sequencing data analysis. As an open-source advocate and an experienced software developer, he is the author of multiple large-scale software projects, including simuPOP, Variant Tools, and SoS Polyglot Notebook and Workflow System, and is battling COVID-19 with his new covid19-outbreak-simulator.
Selected Publications
-
Wang G, Peng B.. " Script of Scripts: A pragmatic workflow system for daily computational research. " PLoS Comput Biol.. 2019 ;
Pubmed PMID: 30811390. -
Peng B, Leong MC, Chen HS, Rotunno M, Brignole KR, Clarke J, Mechanic LE.. " Genetic Simulation Resources and the GSR Certification Program. " Bioinformatics. 2019 ;
Pubmed PMID: 30101297. -
Peng B, Wang G, Ma J, Leong MC, Wakefield C, Melott J, Chiu Y, Du D, Weinstein JN. " SoS Notebook: an interactive multi-language data analysis environment " Bioinformatics. 2018 ;
Pubmed PMID: 29790910. -
Peng B, Chen HS, Mechanic LE, Racine B, Clarke J, Gillanders E, Feuer EJ. " Genetic data simulators and their applications: an overview. Genet Epidemiol. " Genet Epidemiol.. 2015 ;
Pubmed PMID: 25504286.
Projects
- Script of Script
- (08/2016 - present)
- Polyglot Notebook and Workflow System that provide an environment for both interactive data analysis and batch data processing.
- Variant Tools
- (05/2010 - present)
- Software tool for the manipulation, annotation, selection, and analysis of variants in the context of next-gen sequencing analysis
- Genetic Simulation Resources
- NCI (06/2012 - present)
- Genetic Simulation Resources (GSR) is a website provided by the National Cancer Institute (NCI) that aims to help researchers compare and choose the appropriate simulation tools for their studies.
Funding
-
Computational tools for sequence-based large-scale epidemiology studies
#R01HG008972 - (06/14/2016 - 03/31/2021)
- Grant funding from NIGRI
-
Genetic simulation software registration & discovery system
- National Cancer Institute
Skills
- Bioinformatics
- Genetic Epidemiology
- Genetic Simulations
Log In to edit your profile