Cargando…
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq
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-s...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874078/ https://www.ncbi.nlm.nih.gov/pubmed/33584814 http://dx.doi.org/10.3389/fgene.2020.618478 |
_version_ | 1783649514401300480 |
---|---|
author | Lu, Rita Jui-Hsien Liu, Yen-Ting Huang, Chih Wei Yen, Ming-Ren Lin, Chung-Yen Chen, Pao-Yang |
author_facet | Lu, Rita Jui-Hsien Liu, Yen-Ting Huang, Chih Wei Yen, Ming-Ren Lin, Chung-Yen Chen, Pao-Yang |
author_sort | Lu, Rita Jui-Hsien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7874078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78740782021-02-11 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 Front Genet Genetics 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. Frontiers Media S.A. 2021-01-13 /pmc/articles/PMC7874078/ /pubmed/33584814 http://dx.doi.org/10.3389/fgene.2020.618478 Text en Copyright © 2021 Lu, Liu, Huang, Yen, Lin and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lu, Rita Jui-Hsien Liu, Yen-Ting Huang, Chih Wei Yen, Ming-Ren Lin, Chung-Yen Chen, Pao-Yang ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title | ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title_full | ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title_fullStr | ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title_full_unstemmed | ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title_short | ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq |
title_sort | atacgraph: profiling genome-wide chromatin accessibility from atac-seq |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874078/ https://www.ncbi.nlm.nih.gov/pubmed/33584814 http://dx.doi.org/10.3389/fgene.2020.618478 |
work_keys_str_mv | AT luritajuihsien atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq AT liuyenting atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq AT huangchihwei atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq AT yenmingren atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq AT linchungyen atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq AT chenpaoyang atacgraphprofilinggenomewidechromatinaccessibilityfromatacseq |