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CRAM

Uses data compression strategies to efficiently store genomic data

SummaryBenefitsTarget usersAnnouncements

As genomic sequencing increases around the globe, it becomes vital to store the generated data efficiently and sustainably. The CRAM file format tackles this challenge by efficiently storing genomic data. CRAM can help reduce disk space and storage costs by 30 to 50 per cent, accurately track reference genomes, improve integration within the field, and make data easy to transfer and share with collaborators.

Benefits

  • Significantly reduces the size of genomic sequencing data through compression
  • Reduces storage costs and fosters faster data sharing with collaborators
  • Provides random access by genomic region and also selectively by data type

Target users

Researchers, and data custodians

Announcements

Date Title
15 February 2023 GA4GH products open for comment: CRAM v3.1, refget v2.0
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Product Lead
  • James Bonfield
Staff Contact
GitHub
GitHub
Community Engagement
Active Engagement
Last Approved Version
CRAM v3.0

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