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ePIANNO: ePIgenomics ANNOtation tool
Recently, with the development of next generation sequencing (NGS), the combination of chromatin immunoprecipitation (ChIP) and NGS, namely ChIP-seq, has become a powerful technique to capture potential genomic binding sites of regulatory factors, histone modifications and chromatin accessible regio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747527/ https://www.ncbi.nlm.nih.gov/pubmed/26859295 http://dx.doi.org/10.1371/journal.pone.0148321 |
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author | Liu, Chia-Hsin Ho, Bing-Ching Chen, Chun-Ling Chang, Ya-Hsuan Hsu, Yi-Chiung Li, Yu-Cheng Yuan, Shin-Sheng Huang, Yi-Huan Chang, Chi-Sheng Li, Ker-Chau Chen, Hsuan-Yu |
author_facet | Liu, Chia-Hsin Ho, Bing-Ching Chen, Chun-Ling Chang, Ya-Hsuan Hsu, Yi-Chiung Li, Yu-Cheng Yuan, Shin-Sheng Huang, Yi-Huan Chang, Chi-Sheng Li, Ker-Chau Chen, Hsuan-Yu |
author_sort | Liu, Chia-Hsin |
collection | PubMed |
description | Recently, with the development of next generation sequencing (NGS), the combination of chromatin immunoprecipitation (ChIP) and NGS, namely ChIP-seq, has become a powerful technique to capture potential genomic binding sites of regulatory factors, histone modifications and chromatin accessible regions. For most researchers, additional information including genomic variations on the TF binding site, allele frequency of variation between different populations, variation associated disease, and other neighbour TF binding sites are essential to generate a proper hypothesis or a meaningful conclusion. Many ChIP-seq datasets had been deposited on the public domain to help researchers make new discoveries. However, researches are often intimidated by the complexity of data structure and largeness of data volume. Such information would be more useful if they could be combined or downloaded with ChIP-seq data. To meet such demands, we built a webtool: ePIgenomic ANNOtation tool (ePIANNO, http://epianno.stat.sinica.edu.tw/index.html). ePIANNO is a web server that combines SNP information of populations (1000 Genomes Project) and gene-disease association information of GWAS (NHGRI) with ChIP-seq (hmChIP, ENCODE, and ROADMAP epigenomics) data. ePIANNO has a user-friendly website interface allowing researchers to explore, navigate, and extract data quickly. We use two examples to demonstrate how users could use functions of ePIANNO webserver to explore useful information about TF related genomic variants. Users could use our query functions to search target regions, transcription factors, or annotations. ePIANNO may help users to generate hypothesis or explore potential biological functions for their studies. |
format | Online Article Text |
id | pubmed-4747527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47475272016-02-22 ePIANNO: ePIgenomics ANNOtation tool Liu, Chia-Hsin Ho, Bing-Ching Chen, Chun-Ling Chang, Ya-Hsuan Hsu, Yi-Chiung Li, Yu-Cheng Yuan, Shin-Sheng Huang, Yi-Huan Chang, Chi-Sheng Li, Ker-Chau Chen, Hsuan-Yu PLoS One Research Article Recently, with the development of next generation sequencing (NGS), the combination of chromatin immunoprecipitation (ChIP) and NGS, namely ChIP-seq, has become a powerful technique to capture potential genomic binding sites of regulatory factors, histone modifications and chromatin accessible regions. For most researchers, additional information including genomic variations on the TF binding site, allele frequency of variation between different populations, variation associated disease, and other neighbour TF binding sites are essential to generate a proper hypothesis or a meaningful conclusion. Many ChIP-seq datasets had been deposited on the public domain to help researchers make new discoveries. However, researches are often intimidated by the complexity of data structure and largeness of data volume. Such information would be more useful if they could be combined or downloaded with ChIP-seq data. To meet such demands, we built a webtool: ePIgenomic ANNOtation tool (ePIANNO, http://epianno.stat.sinica.edu.tw/index.html). ePIANNO is a web server that combines SNP information of populations (1000 Genomes Project) and gene-disease association information of GWAS (NHGRI) with ChIP-seq (hmChIP, ENCODE, and ROADMAP epigenomics) data. ePIANNO has a user-friendly website interface allowing researchers to explore, navigate, and extract data quickly. We use two examples to demonstrate how users could use functions of ePIANNO webserver to explore useful information about TF related genomic variants. Users could use our query functions to search target regions, transcription factors, or annotations. ePIANNO may help users to generate hypothesis or explore potential biological functions for their studies. Public Library of Science 2016-02-09 /pmc/articles/PMC4747527/ /pubmed/26859295 http://dx.doi.org/10.1371/journal.pone.0148321 Text en © 2016 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Chia-Hsin Ho, Bing-Ching Chen, Chun-Ling Chang, Ya-Hsuan Hsu, Yi-Chiung Li, Yu-Cheng Yuan, Shin-Sheng Huang, Yi-Huan Chang, Chi-Sheng Li, Ker-Chau Chen, Hsuan-Yu ePIANNO: ePIgenomics ANNOtation tool |
title | ePIANNO: ePIgenomics ANNOtation tool |
title_full | ePIANNO: ePIgenomics ANNOtation tool |
title_fullStr | ePIANNO: ePIgenomics ANNOtation tool |
title_full_unstemmed | ePIANNO: ePIgenomics ANNOtation tool |
title_short | ePIANNO: ePIgenomics ANNOtation tool |
title_sort | epianno: epigenomics annotation tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747527/ https://www.ncbi.nlm.nih.gov/pubmed/26859295 http://dx.doi.org/10.1371/journal.pone.0148321 |
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