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atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding.
Shin, Sunyoung; Hudson, Rebecca; Harrison, Christopher; Craven, Mark; Keles, Sündüz.
Afiliación
  • Shin S; Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX, USA.
  • Hudson R; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
  • Harrison C; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
  • Craven M; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
  • Keles S; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Bioinformatics ; 35(15): 2657-2659, 2019 08 01.
Article en En | MEDLINE | ID: mdl-30534948
ABSTRACT

SUMMARY:

Understanding the regulatory roles of non-coding genetic variants has become a central goal for interpreting results of genome-wide association studies. The regulatory significance of the variants may be interrogated by assessing their influence on transcription factor binding. We have developed atSNP Search, a comprehensive web database for evaluating motif matches to the human genome with both reference and variant alleles and assessing the overall significance of the variant alterations on the motif matches. Convenient search features, comprehensive search outputs and a useful help menu are key components of atSNP Search. atSNP Search enables convenient interpretation of regulatory variants by statistical significance testing and composite logo plots, which are graphical representations of motif matches with the reference and variant alleles. Existing motif-based regulatory variant discovery tools only consider a limited pool of variants due to storage or other limitations. In contrast, atSNP Search users can test more than 37 billion variant-motif pairs with marginal significance in motif matches or match alteration. Computational evidence from atSNP Search, when combined with experimental validation, may help with the discovery of underlying disease mechanisms. AVAILABILITY AND IMPLEMENTATION atSNP Search is freely available at http//atsnp.biostat.wisc.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Estudio de Asociación del Genoma Completo Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Estudio de Asociación del Genoma Completo Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos