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JASPAR RESTful API: accessing JASPAR data from any programming language.
Khan, Aziz; Mathelier, Anthony.
Afiliación
  • Khan A; Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349 Oslo, Norway.
  • Mathelier A; Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349 Oslo, Norway.
Bioinformatics ; 34(9): 1612-1614, 2018 05 01.
Article en En | MEDLINE | ID: mdl-29253085
ABSTRACT

Summary:

JASPAR is a widely used open-access database of curated, non-redundant transcription factor binding profiles. Currently, data from JASPAR can be retrieved as flat files or by using programming language-specific interfaces. Here, we present a programming language-independent application programming interface (API) to access JASPAR data using the Representational State Transfer (REST) architecture. The REST API enables programmatic access to JASPAR by most programming languages and returns data in eight widely used formats. Several endpoints are available to access the data and an endpoint is available to infer the TF binding profile(s) likely bound by a given DNA binding domain protein sequence. Additionally, it provides an interactive browsable interface for bioinformatics tool developers. Availability and implementation This REST API is implemented in Python using the Django REST Framework. It is accessible at http//jaspar.genereg.net/api/ and the source code is freely available at https//bitbucket.org/CBGR/jaspar under GPL v3 license. Contact aziz.khan@ncmm.uio.no or anthony.mathelier@ncmm.uio.no. Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Factores de Transcripción / Lenguajes de Programación Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Factores de Transcripción / Lenguajes de Programación Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Noruega