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epic2 efficiently finds diffuse domains in ChIP-seq data.
Stovner, Endre Bakken; Sætrom, Pål.
Afiliação
  • Stovner EB; Department of Computer Science, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim 7013, Norway.
  • Sætrom P; Department of Clinical and Molecular Medicine, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim 7013, Norway.
Bioinformatics ; 35(21): 4392-4393, 2019 11 01.
Article em En | MEDLINE | ID: mdl-30923821
ABSTRACT

SUMMARY:

Data from chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) generally contain either narrow peaks or broad and diffusely enriched domains. The SICER ChIP-seq caller has proven adept at finding diffuse domains in ChIP-seq data, but it is slow, requires much memory, needs manual installation steps and is hard to use. epic2 is a complete rewrite of SICER that is focused on speed, low memory overhead and ease-of-use. AVAILABILITY AND IMPLEMENTATION The MIT-licensed code is available at https//github.com/biocore-ntnu/epic2. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Sequenciamento de Cromatina por Imunoprecipitação Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Sequenciamento de Cromatina por Imunoprecipitação Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Noruega