BamHash: a checksum program for verifying the integrity of sequence data
Abstract
SummaryLarge resequencing projects require a significant amount of storage for raw sequences, as well as alignment files. Since the raw sequences are redundant once the alignment has been generated, it is possible to keep only the alignment files. We present BamHash, a checksum based method to ensure that the read pairs in FASTQ files match exactly the read pairs stored in BAM files, regardless of the ordering of reads. BamHash can be used to verify the integrity of the files stored and discover any discrepancies. Thus, BamHash can be used to determine if it is safe to delete the FASTQ files storing raw sequencing reads after alignment, without the loss of data.\n\nAvailability and ImplementationThe software is implemented in C++, GPL licensed and available at https://github.com/DecodeGenetics/BamHash\n\nContactpmelsted@hi.is
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Bazam: A rapid method for read extraction and realignment of high throughput sequencing data
Simon Sadedin, Alicia Oshlack·Genome biologyPeer-reviewed·Apr 18, 2019
- streammd: fast low-memory duplicate marking using a Bloom filter
Conrad Leonard·BioinformaticsPeer-reviewed·Apr 1, 2023
- A RESTful API to serve BAM file with OAuth2 compatible authorization
Julien Delafontaine, Sylvain Pradervand·bioRxiv·Jun 19, 2017
- Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Michael Durbin·BioinformaticsPeer-reviewed·May 18, 2009
- benchNGS : An approach to benchmark short reads alignment tools
Farzana Rahman, Mehedi Hassan, … Tatiana Tatarinova·bioRxiv·Apr 18, 2015
- fastq-pair: efficient synchronization of paired-end fastq files
John A. Edwards, Robert Alan Edwards·bioRxiv·Feb 19, 2019