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ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq.
Lu, Rita Jui-Hsien; Liu, Yen-Ting; Huang, Chih Wei; Yen, Ming-Ren; Lin, Chung-Yen; Chen, Pao-Yang.
Afiliación
  • Lu RJ; Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
  • Liu YT; Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
  • Huang CW; Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
  • Yen MR; Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Lin CY; Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
  • Chen PY; Institute of Information Science, Academia Sinica, Taipei, Taiwan.
Front Genet ; 11: 618478, 2020.
Article en En | MEDLINE | ID: mdl-33584814
ABSTRACT
Assay for transposase-accessible chromatin using sequencing data (ATAC-seq) is an efficient and precise method for revealing chromatin accessibility across the genome. Most of the current ATAC-seq tools follow chromatin immunoprecipitation sequencing (ChIP-seq) strategies that do not consider ATAC-seq-specific properties. To incorporate specific ATAC-seq quality control and the underlying biology of chromatin accessibility, we developed a bioinformatics software named ATACgraph for analyzing and visualizing ATAC-seq data. ATACgraph profiles accessible chromatin regions and provides ATAC-seq-specific information including definitions of nucleosome-free regions (NFRs) and nucleosome-occupied regions. ATACgraph also allows identification of differentially accessible regions between two ATAC-seq datasets. ATACgraph incorporates the docker image with the Galaxy platform to provide an intuitive user experience via the graphical interface. Without tedious installation processes on a local machine or cloud, users can analyze data through activated websites using pre-designed workflows or customized pipelines composed of ATACgraph modules. Overall, ATACgraph is an effective tool designed for ATAC-seq for biologists with minimal bioinformatics knowledge to analyze chromatin accessibility. ATACgraph can be run on any ATAC-seq data with no limit to specific genomes. As validation, we demonstrated ATACgraph on human genome to showcase its functions for ATAC-seq interpretation. This software is publicly accessible and can be downloaded at https//github.com/RitataLU/ATACgraph.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Taiwán