SNiPA

An interactive, genetic variant-centered annotation browser

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

Research output: Contribution to journalArticle

76 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

Annotation
Genes
Availability
Web Server
Accessibility
Linking
Genomics
Gene
Resources
Datasets

ASJC Scopus subject areas

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

Cite this

SNiPA : An interactive, genetic variant-centered annotation browser. / Arnold, Matthias; Raffler, Johannes; Pfeufer, Arne; Suhre, Karsten; Kastenmüller, Gabi.

In: Bioinformatics, Vol. 31, No. 8, 15.04.2015, p. 1334-1336.

Research output: Contribution to journalArticle

Arnold, M, Raffler, J, Pfeufer, A, Suhre, K & Kastenmüller, G 2015, 'SNiPA: An interactive, genetic variant-centered annotation browser', Bioinformatics, vol. 31, no. 8, pp. 1334-1336. https://doi.org/10.1093/bioinformatics/btu779
Arnold, Matthias ; Raffler, Johannes ; Pfeufer, Arne ; Suhre, Karsten ; Kastenmüller, Gabi. / SNiPA : An interactive, genetic variant-centered annotation browser. In: Bioinformatics. 2015 ; Vol. 31, No. 8. pp. 1334-1336.
@article{615f529f0a07463f9702ce7ee1702918,
title = "SNiPA: An interactive, genetic variant-centered annotation browser",
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/.",
author = "Matthias Arnold and Johannes Raffler and Arne Pfeufer and Karsten Suhre and Gabi Kastenm{\"u}ller",
year = "2015",
month = "4",
day = "15",
doi = "10.1093/bioinformatics/btu779",
language = "English",
volume = "31",
pages = "1334--1336",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "8",

}

TY - JOUR

T1 - SNiPA

T2 - An interactive, genetic variant-centered annotation browser

AU - Arnold, Matthias

AU - Raffler, Johannes

AU - Pfeufer, Arne

AU - Suhre, Karsten

AU - Kastenmüller, Gabi

PY - 2015/4/15

Y1 - 2015/4/15

N2 - 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/.

AB - 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/.

UR - http://www.scopus.com/inward/record.url?scp=84927747554&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927747554&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btu779

DO - 10.1093/bioinformatics/btu779

M3 - Article

VL - 31

SP - 1334

EP - 1336

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 8

ER -