Cargando…

EpiAlignment: alignment with both DNA sequence and epigenomic data

Comparative epigenomics, which subjects both epigenome and genome to interspecies comparison, has become a powerful approach to reveal regulatory features of the genome. Thus elucidated regulatory features surpass the information derived from comparison of genomic sequences alone. Here, we present E...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Jia, Cao, Xiaoyi, Zhong, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602515/
https://www.ncbi.nlm.nih.gov/pubmed/31114924
http://dx.doi.org/10.1093/nar/gkz426
_version_ 1783431393705984000
author Lu, Jia
Cao, Xiaoyi
Zhong, Sheng
author_facet Lu, Jia
Cao, Xiaoyi
Zhong, Sheng
author_sort Lu, Jia
collection PubMed
description Comparative epigenomics, which subjects both epigenome and genome to interspecies comparison, has become a powerful approach to reveal regulatory features of the genome. Thus elucidated regulatory features surpass the information derived from comparison of genomic sequences alone. Here, we present EpiAlignment, a web-based tool to align genomic regions with both DNA sequence and epigenomic data. EpiAlignment takes DNA sequence and epigenomic profiles derived by ChIP-seq from two species as input data, and outputs the best semi-global alignments. These alignments are based on EpiAlignment scores, computed by a dynamic programming algorithm that accounts for both sequence alignment and epigenome similarity. For timely response, the EpiAlignment web server automatically initiates up to 140 computing threads depending on the size of user input data. For users’ convenience, we have pre-compiled the comparable human and mouse epigenome datasets in matched cell types and tissues from the Roadmap Epigenomics and ENCODE consortia. Users can either upload their own data or select pre-compiled datasets as inputs for EpiAlignment analyses. Results are presented in graphical and tabular formats where the entries can be interactively expanded to visualize additional features of these aligned regions. EpiAlignment is available at https://epialign.ucsd.edu/.
format Online
Article
Text
id pubmed-6602515
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-66025152019-07-05 EpiAlignment: alignment with both DNA sequence and epigenomic data Lu, Jia Cao, Xiaoyi Zhong, Sheng Nucleic Acids Res Web Server Issue Comparative epigenomics, which subjects both epigenome and genome to interspecies comparison, has become a powerful approach to reveal regulatory features of the genome. Thus elucidated regulatory features surpass the information derived from comparison of genomic sequences alone. Here, we present EpiAlignment, a web-based tool to align genomic regions with both DNA sequence and epigenomic data. EpiAlignment takes DNA sequence and epigenomic profiles derived by ChIP-seq from two species as input data, and outputs the best semi-global alignments. These alignments are based on EpiAlignment scores, computed by a dynamic programming algorithm that accounts for both sequence alignment and epigenome similarity. For timely response, the EpiAlignment web server automatically initiates up to 140 computing threads depending on the size of user input data. For users’ convenience, we have pre-compiled the comparable human and mouse epigenome datasets in matched cell types and tissues from the Roadmap Epigenomics and ENCODE consortia. Users can either upload their own data or select pre-compiled datasets as inputs for EpiAlignment analyses. Results are presented in graphical and tabular formats where the entries can be interactively expanded to visualize additional features of these aligned regions. EpiAlignment is available at https://epialign.ucsd.edu/. Oxford University Press 2019-07-02 2019-05-22 /pmc/articles/PMC6602515/ /pubmed/31114924 http://dx.doi.org/10.1093/nar/gkz426 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Lu, Jia
Cao, Xiaoyi
Zhong, Sheng
EpiAlignment: alignment with both DNA sequence and epigenomic data
title EpiAlignment: alignment with both DNA sequence and epigenomic data
title_full EpiAlignment: alignment with both DNA sequence and epigenomic data
title_fullStr EpiAlignment: alignment with both DNA sequence and epigenomic data
title_full_unstemmed EpiAlignment: alignment with both DNA sequence and epigenomic data
title_short EpiAlignment: alignment with both DNA sequence and epigenomic data
title_sort epialignment: alignment with both dna sequence and epigenomic data
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602515/
https://www.ncbi.nlm.nih.gov/pubmed/31114924
http://dx.doi.org/10.1093/nar/gkz426
work_keys_str_mv AT lujia epialignmentalignmentwithbothdnasequenceandepigenomicdata
AT caoxiaoyi epialignmentalignmentwithbothdnasequenceandepigenomicdata
AT zhongsheng epialignmentalignmentwithbothdnasequenceandepigenomicdata