Cargando…

GsmPlot: a web server to visualize epigenome data in NCBI

BACKGROUND: Epigenetic regulation is essential in regulating gene expression across a variety of biological processes. Many high-throughput sequencing technologies have been widely used to generate epigenetic data, such as histone modification, transcription factor binding sites, DNA modifications,...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jia, Yin, Yue, Zhang, Mutian, Cui, Jie, Zhang, Zhenhai, Zhang, Zhiyong, Sun, Deqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017537/
https://www.ncbi.nlm.nih.gov/pubmed/32050905
http://dx.doi.org/10.1186/s12859-020-3386-0
_version_ 1783497215678873600
author Li, Jia
Yin, Yue
Zhang, Mutian
Cui, Jie
Zhang, Zhenhai
Zhang, Zhiyong
Sun, Deqiang
author_facet Li, Jia
Yin, Yue
Zhang, Mutian
Cui, Jie
Zhang, Zhenhai
Zhang, Zhiyong
Sun, Deqiang
author_sort Li, Jia
collection PubMed
description BACKGROUND: Epigenetic regulation is essential in regulating gene expression across a variety of biological processes. Many high-throughput sequencing technologies have been widely used to generate epigenetic data, such as histone modification, transcription factor binding sites, DNA modifications, chromatin accessibility, and etc. A large scale of epigenetic data is stored in NCBI Gene Expression Omnibus (GEO). However, it is a great challenge to reanalyze these large scale and complex data, especially for researchers who do not specialize in bioinformatics skills or do not have access to expensive computational infrastructure. RESULTS: GsmPlot can simply accept GSM IDs to automatically download NCBI data or can accept user’s private bigwig files as input to plot the concerned data on promoters, exons or any other user-defined genome locations and generate UCSC visualization tracks. By linking public data repository and private data, GsmPlot can spark data-driven ideas and hence promote the epigenetic research. CONCLUSIONS: GsmPlot web server allows convenient visualization and efficient exploration of any NCBI epigenetic data in any genomic region without need of any bioinformatics skills or special computing resources. GsmPlot is freely available at https://gsmplot.deqiangsun.org/.
format Online
Article
Text
id pubmed-7017537
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-70175372020-02-20 GsmPlot: a web server to visualize epigenome data in NCBI Li, Jia Yin, Yue Zhang, Mutian Cui, Jie Zhang, Zhenhai Zhang, Zhiyong Sun, Deqiang BMC Bioinformatics Software BACKGROUND: Epigenetic regulation is essential in regulating gene expression across a variety of biological processes. Many high-throughput sequencing technologies have been widely used to generate epigenetic data, such as histone modification, transcription factor binding sites, DNA modifications, chromatin accessibility, and etc. A large scale of epigenetic data is stored in NCBI Gene Expression Omnibus (GEO). However, it is a great challenge to reanalyze these large scale and complex data, especially for researchers who do not specialize in bioinformatics skills or do not have access to expensive computational infrastructure. RESULTS: GsmPlot can simply accept GSM IDs to automatically download NCBI data or can accept user’s private bigwig files as input to plot the concerned data on promoters, exons or any other user-defined genome locations and generate UCSC visualization tracks. By linking public data repository and private data, GsmPlot can spark data-driven ideas and hence promote the epigenetic research. CONCLUSIONS: GsmPlot web server allows convenient visualization and efficient exploration of any NCBI epigenetic data in any genomic region without need of any bioinformatics skills or special computing resources. GsmPlot is freely available at https://gsmplot.deqiangsun.org/. BioMed Central 2020-02-12 /pmc/articles/PMC7017537/ /pubmed/32050905 http://dx.doi.org/10.1186/s12859-020-3386-0 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Li, Jia
Yin, Yue
Zhang, Mutian
Cui, Jie
Zhang, Zhenhai
Zhang, Zhiyong
Sun, Deqiang
GsmPlot: a web server to visualize epigenome data in NCBI
title GsmPlot: a web server to visualize epigenome data in NCBI
title_full GsmPlot: a web server to visualize epigenome data in NCBI
title_fullStr GsmPlot: a web server to visualize epigenome data in NCBI
title_full_unstemmed GsmPlot: a web server to visualize epigenome data in NCBI
title_short GsmPlot: a web server to visualize epigenome data in NCBI
title_sort gsmplot: a web server to visualize epigenome data in ncbi
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017537/
https://www.ncbi.nlm.nih.gov/pubmed/32050905
http://dx.doi.org/10.1186/s12859-020-3386-0
work_keys_str_mv AT lijia gsmplotawebservertovisualizeepigenomedatainncbi
AT yinyue gsmplotawebservertovisualizeepigenomedatainncbi
AT zhangmutian gsmplotawebservertovisualizeepigenomedatainncbi
AT cuijie gsmplotawebservertovisualizeepigenomedatainncbi
AT zhangzhenhai gsmplotawebservertovisualizeepigenomedatainncbi
AT zhangzhiyong gsmplotawebservertovisualizeepigenomedatainncbi
AT sundeqiang gsmplotawebservertovisualizeepigenomedatainncbi