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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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 |
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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 |
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