PBEAM: A parallel implementation of BEAM for genome-wide inference of epistatic interactions

摘要：

Summary: The software tool PBEAM provides a parallel implementation of the BEAM algorithm for large scale epistatic interaction mapping, including genome-wide studies with hundreds of thousands of markers1. BEAM2 describes the markers and their interactions with a Bayesian partitioning model and computes the posterior probability of each marker sets via Markov Chain Monte Carlo (MCMC),.PBEAM takes the advantage of simulating multiple Markov chains simultaneously. This design can efficiently reduce ～n-fold execution time in the circumstance of n CPUs. The implementation of PBEAM is based on MPI libraries3.

作者: Tao Peng Pufeng Du Yanda Li

作者单位: MOE Key LaboratoW of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 914

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）