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INSECT 2.0: a web-server for genome-wide cis-regulatory modules prediction.
Parra, R Gonzalo; Rohr, Cristian O; Koile, Daniel; Perez-Castro, Carolina; Yankilevich, Patricio.
Afiliação
  • Parra RG; Facultad De Ciencias Exactas Y Naturales, Universidad De Buenos Aires, Buenos Aires, Argentina and.
  • Rohr CO; Facultad De Ciencias Exactas Y Naturales, Universidad De Buenos Aires, Buenos Aires, Argentina and.
  • Koile D; Instituto De Investigacion En Biomedicina De Buenos Aires (IBioBA), CONICET, Partner Institute of the Max Planck Society, Godoy Cruz 2390, Buenos Aires C1425FQA, Argentina.
  • Perez-Castro C; Instituto De Investigacion En Biomedicina De Buenos Aires (IBioBA), CONICET, Partner Institute of the Max Planck Society, Godoy Cruz 2390, Buenos Aires C1425FQA, Argentina.
  • Yankilevich P; Instituto De Investigacion En Biomedicina De Buenos Aires (IBioBA), CONICET, Partner Institute of the Max Planck Society, Godoy Cruz 2390, Buenos Aires C1425FQA, Argentina.
Bioinformatics ; 32(8): 1229-31, 2016 04 15.
Article em En | MEDLINE | ID: mdl-26656931
ABSTRACT
UNLABELLED INSECT is a user-friendly web server to predict the occurrence of Cis-Regulatory Modules (CRMs), which control gene expression. Here, we present a new release of INSECT which includes several new features, such as whole genome analysis, nucleosome occupancy predictions, and which provides additional links to third-party functional tools that complement user capabilities, CRM analysis and hypothesis construction. Improvements in the core implementation have led to a faster and more efficient tool. In addition, this new release introduces a new interface designed for a more integrative and dynamic user experience. AVAILABILITY AND IMPLEMENTATION http//bioinformatics.ibioba-mpsp-conicet.gov.ar/INSECT2 CONTACT pyankilevich@ibioba-mpsp-conicet.gov.ar.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Simulação por Computador / Genoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Simulação por Computador / Genoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article