Nov 6, 2015

chopBAI: BAM index reduction solves I/O bottlenecks in the joint analysis of large sequencing cohorts

BioRxiv : the Preprint Server for Biology
Birte Kehr, Páll Melsted

Abstract

Summary: Advances in sequencing capacity have lead to the generation of unprecedented amounts of genomic data. The processing of this data frequently leads to I/O bottlenecks, e.g. when analyzing a small genomic region across a large number of samples. The largest I/O burden is, however, often not imposed by the amount of data needed for the analysis but rather by index files that help retrieving this data. We have developed chopBAI, a program that can chop a BAM index (BAI) file into small pieces. The program outputs a list of BAI files each indexing a specified genomic interval. The output files are much smaller in size but maintain compatibility with existing software tools. We show how preprocessing BAI files with chopBAI can lead to a reduction of I/O by more than 95 % during the analysis of 10 Kbp genomic regions, eventually enabling the joint analysis of more than 10,000 individuals. Availability and Implementation: The software is implemented in C++, GPL licensed and available at http://github.com/DecodeGenetics/chopBAI Contact: birte.kehr@decode.is

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Mentioned in this Paper

Computer Software
Size
Genome
Nucleic Acid Sequencing
DDIT3 wt Allele
Toe Brachial Index
Joints
DDIT3 gene
Cocaine
Genomics

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