Title :
Methy-Pipe: An integrated bioinformatics data analysis pipeline for whole genome methylome analysis
Author :
Peiyong Jiang ; Xiaoxi Sun ; Chen, E.Z. ; Kun Sun ; Chiu, R.W.K. ; Lo, Y.M.D. ; Hao Sun
Author_Institution :
Centre for Res. into Circulating Fetal Nucleic Acids, Chinese Univ. of Hong Kong, Shatin, China
Abstract :
Bisulfite sequencing is used to detect the methylated status at single nucleotide resolution. Coupled with a recently developed next generation sequencing technology, it becomes a powerful tool for studying the epigenetic regulations in a variety of biological systems. However, due the large dataset generated from this kind of experiment, limited software packages are available for analyzing the resultant high-throughput bisulfite sequencing data with reasonable performance in terms of efficiency and accuracy. To solve this problem,, we developed an integrated data analysis pipeline Methy-Pipe for analyzing whole genome methylome data. The capability of it running in parallel on Linux cluster makes this pipeline superior to other exisetnent softwares.
Keywords :
bioinformatics; data analysis; genomics; parallel processing; Methy-Pipe; bisulfite sequencing; epigenetic regulations; integrated bioinformatics data analysis pipeline; methylated status; next generation sequencing technology; parallel Linux cluster; single nucleotide resolution; whole genome methylome analysis; Bioinformatics; DNA; Data analysis; Genomics; Humans; Pipelines; Sun;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location :
Hong, Kong
Print_ISBN :
978-1-4244-8303-7
DOI :
10.1109/BIBMW.2010.5703866