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GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data

Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a powerful genomic technology that is used for the global mapping and analysis of open chromatin regions. However, for users to process and analyze such data they either have to use a number of complicated bioin...

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Autores principales: Divate, Mayur, Cheung, Edwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056626/
https://www.ncbi.nlm.nih.gov/pubmed/30065749
http://dx.doi.org/10.3389/fgene.2018.00250
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author Divate, Mayur
Cheung, Edwin
author_facet Divate, Mayur
Cheung, Edwin
author_sort Divate, Mayur
collection PubMed
description Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a powerful genomic technology that is used for the global mapping and analysis of open chromatin regions. However, for users to process and analyze such data they either have to use a number of complicated bioinformatic tools or attempt to use the currently available ATAC-seq analysis software, which are not very user friendly and lack visualization of the ATAC-seq results. Because of these issues, biologists with minimal bioinformatics background who wish to process and analyze their own ATAC-seq data by themselves will find these tasks difficult and ultimately will need to seek help from bioinformatics experts. Moreover, none of the available tools provide complete solution for ATAC-seq data analysis. Therefore, to enable non-programming researchers to analyze ATAC-seq data on their own, we developed a tool called Graphical User interface for the Analysis and Visualization of ATAC-seq data (GUAVA). GUAVA is a standalone software that provides users with a seamless solution from beginning to end including adapter trimming, read mapping, the identification and differential analysis of ATAC-seq peaks, functional annotation, and the visualization of ATAC-seq results. We believe GUAVA will be a highly useful and time-saving tool for analyzing ATAC-seq data for biologists with minimal or no bioinformatics background. Since GUAVA can also operate through command-line, it can easily be integrated into existing pipelines, thus providing flexibility to users with computational experience.
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spelling pubmed-60566262018-07-31 GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data Divate, Mayur Cheung, Edwin Front Genet Genetics Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a powerful genomic technology that is used for the global mapping and analysis of open chromatin regions. However, for users to process and analyze such data they either have to use a number of complicated bioinformatic tools or attempt to use the currently available ATAC-seq analysis software, which are not very user friendly and lack visualization of the ATAC-seq results. Because of these issues, biologists with minimal bioinformatics background who wish to process and analyze their own ATAC-seq data by themselves will find these tasks difficult and ultimately will need to seek help from bioinformatics experts. Moreover, none of the available tools provide complete solution for ATAC-seq data analysis. Therefore, to enable non-programming researchers to analyze ATAC-seq data on their own, we developed a tool called Graphical User interface for the Analysis and Visualization of ATAC-seq data (GUAVA). GUAVA is a standalone software that provides users with a seamless solution from beginning to end including adapter trimming, read mapping, the identification and differential analysis of ATAC-seq peaks, functional annotation, and the visualization of ATAC-seq results. We believe GUAVA will be a highly useful and time-saving tool for analyzing ATAC-seq data for biologists with minimal or no bioinformatics background. Since GUAVA can also operate through command-line, it can easily be integrated into existing pipelines, thus providing flexibility to users with computational experience. Frontiers Media S.A. 2018-07-17 /pmc/articles/PMC6056626/ /pubmed/30065749 http://dx.doi.org/10.3389/fgene.2018.00250 Text en Copyright © 2018 Divate and Cheung. 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
Divate, Mayur
Cheung, Edwin
GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title_full GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title_fullStr GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title_full_unstemmed GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title_short GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
title_sort guava: a graphical user interface for the analysis and visualization of atac-seq data
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056626/
https://www.ncbi.nlm.nih.gov/pubmed/30065749
http://dx.doi.org/10.3389/fgene.2018.00250
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