Abstract

Background
With the advances in next-generation sequencing (NGS) technology and significant reductions in sequencing costs, it is now possible to sequence large collections of germplasm in crops for detecting genome-scale genetic variations and to apply the knowledge towards improvements in traits. To efficiently facilitate large-scale NGS resequencing data analysis of genomic variations, we have developed “PGen”, an integrated and optimized workflow using the Extreme Science and Engineering Discovery Environment (XSEDE) high-performance computing (HPC) virtual system, iPlant cloud data storage resources and Pegasus workflow management system (Pegasus-WMS). The workflow allows users to identify single nucleotide polymorphisms (SNPs) and insertion-deletions (indels), perform SNP annotations and conduct copy number variation analyses on multiple …

Date

2016

Authors

Yang Liu, Saad M Khan, Juexin Wang, Mats Rynge, Yuanxun Zhang, Shuai Zeng, Shiyuan Chen, Joao V Maldonado dos Santos, Babu Valliyodan, Prasad P Calyam, Nirav Merchant, Henry T Nguyen, Dong Xu, Trupti Joshi

Journal

BMC bioinformatics

Volume

17

Pages

177-186

Publisher

BioMed Central