Htsget: A protocol for securely streaming genomic data

  • Jerome Kelleher
  • , Mike Lin
  • , C. H. Albach
  • , Ewan Birney
  • , Robert Davies
  • , Marina Gourtovaia
  • , David Glazer
  • , Cristina Y. Gonzalez
  • , David K. Jackson
  • , Aaron Kemp
  • , John Marshall
  • , Andrew Nowak
  • , Alexander Senf
  • , Jaime M. Tovar-Corona
  • , Alexander Vikhorev
  • , Thomas M. Keane
  • , Dixie Baker
  • , Vadim Zalunin
  • , Angel Pizarro
  • , Richard Durbin
  • Mark Diekhans, Edmon Begoli, Ilia Tulchinsky, Heng Li, Rishi Nag, Stephen Keenan, Ilkka Lappalainen, Jim Robinson

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Standardized interfaces for efficiently accessing high-throughput sequencing data are a fundamental requirement for large-scale genomic data sharing. We have developed htsget, a protocol for secure, efficient and reliable access to sequencing read and variation data. We demonstrate four independent client and server implementations, and the results of a comprehensive interoperability demonstration. Availability and implementation http://samtools.github.io/hts-specs/htsget.html.

Original languageEnglish
Pages (from-to)119-121
Number of pages3
JournalBioinformatics
Volume35
Issue number1
DOIs
StatePublished - Jan 1 2019

Funding

This work was supported by the Wellcome Trust [100956/Z/13/Z][201535/ Z/16/Z].

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