Journal article

Bazam: A rapid method for read extraction and realignment of high-throughput sequencing data

SP Sadedin, A Oshlack

Genome Biology | BMC | Published : 2019

Abstract

The vast quantities of short-read sequencing data being generated are often exchanged and stored as aligned reads. However, aligned data becomes outdated as new reference genomes and alignment methods become available. Here we describe Bazam, a tool that efficiently extracts the original paired FASTQ from alignment files (BAM or CRAM format) in a format that directly allows efficient realignment. Bazam facilitates up to a 90% reduction in the time for realignment compared to standard methods. Bazam can support selective extraction of read pairs from focused genomic regions for applications such as targeted region analyses, quality control, structural variant calling, and alignment comparison..

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University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council


Funding Acknowledgements

This work was made possible through the Victorian State Government Operational Infrastructure Support and Australian Government NHMRC IRIISS. This work was supported by the National Health and Medical Research Council, Australia (Career Development Fellowship) APP1126157 to AO.