SNiPA: An interactive, genetic variant-centered annotation browser

Matthias Arnold, Johannes Raffler, Arne Pfeufer, Karsten Suhre, Gabi Kastenmüller

Research output: Contribution to journalArticle

83 Citations (Scopus)

Abstract

Motivation: Linking genes and functional information to genetic variants identified by association studies remains difficult. Resources containing extensive genomic annotations are available but often not fully utilized due to heterogeneous data formats. To enhance their accessibility, we integrated many annotation datasets into a user-friendly webserver. Availability and implementation: http://www.snipa.org/.

Original languageEnglish
Pages (from-to)1334-1336
Number of pages3
JournalBioinformatics
Volume31
Issue number8
DOIs
Publication statusPublished - 15 Apr 2015
Externally publishedYes

    Fingerprint

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this