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ATAC-seq Data Processing.
Kim, Daniel S.
Afiliação
  • Kim DS; Biomedical Informatics Program, Stanford University School of Medicine, Stanford, CA, USA. dskim89@stanford.edu.
Methods Mol Biol ; 2611: 305-323, 2023.
Article em En | MEDLINE | ID: mdl-36807076
ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) has gained wide popularity as a fast, straightforward, and efficient way of generating genome-wide maps of open chromatin and guiding identification of active regulatory elements and inference of DNA protein binding locations. Given the ubiquity of this method, uniform and standardized methods for processing and assessing the quality of ATAC-seq datasets are needed. Here, we describe the data processing pipeline used by the ENCODE (Encyclopedia of DNA Elements) consortium to process ATAC-seq data into peak call sets and signal tracks and to assess the quality of these datasets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Sequenciamento de Cromatina por Imunoprecipitação Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Sequenciamento de Cromatina por Imunoprecipitação Idioma: En Ano de publicação: 2023 Tipo de documento: Article