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UROPA: a tool for Universal RObust Peak Annotation
The annotation of genomic ranges of interest represents a recurring task for bioinformatics analyses. These ranges can originate from various sources, including peaks called for transcription factor binding sites (TFBS) or histone modification ChIP-seq experiments, chromatin structure and accessibil...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453960/ https://www.ncbi.nlm.nih.gov/pubmed/28572580 http://dx.doi.org/10.1038/s41598-017-02464-y |
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author | Kondili, Maria Fust, Annika Preussner, Jens Kuenne, Carsten Braun, Thomas Looso, Mario |
author_facet | Kondili, Maria Fust, Annika Preussner, Jens Kuenne, Carsten Braun, Thomas Looso, Mario |
author_sort | Kondili, Maria |
collection | PubMed |
description | The annotation of genomic ranges of interest represents a recurring task for bioinformatics analyses. These ranges can originate from various sources, including peaks called for transcription factor binding sites (TFBS) or histone modification ChIP-seq experiments, chromatin structure and accessibility experiments (such as ATAC-seq), but also from other types of predictions that result in genomic ranges. While peak annotation primarily driven by ChiP-seq was extensively explored, many approaches remain simplistic (“most closely located TSS”), rely on fixed pre-built references, or require complex scripting tasks on behalf of the user. An adaptable, fast, and universal tool, capable to annotate genomic ranges in the respective biological context is critically missing. UROPA (Universal RObust Peak Annotator) is a command line based tool, intended for universal genomic range annotation. Based on a configuration file, different target features can be prioritized with multiple integrated queries. These can be sensitive for feature type, distance, strand specificity, feature attributes (e.g. protein_coding) or anchor position relative to the feature. UROPA can incorporate reference annotation files (GTF) from different sources (Gencode, Ensembl, RefSeq), as well as custom reference annotation files. Statistics and plots transparently summarize the annotation process. UROPA is implemented in Python and R. |
format | Online Article Text |
id | pubmed-5453960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54539602017-06-02 UROPA: a tool for Universal RObust Peak Annotation Kondili, Maria Fust, Annika Preussner, Jens Kuenne, Carsten Braun, Thomas Looso, Mario Sci Rep Article The annotation of genomic ranges of interest represents a recurring task for bioinformatics analyses. These ranges can originate from various sources, including peaks called for transcription factor binding sites (TFBS) or histone modification ChIP-seq experiments, chromatin structure and accessibility experiments (such as ATAC-seq), but also from other types of predictions that result in genomic ranges. While peak annotation primarily driven by ChiP-seq was extensively explored, many approaches remain simplistic (“most closely located TSS”), rely on fixed pre-built references, or require complex scripting tasks on behalf of the user. An adaptable, fast, and universal tool, capable to annotate genomic ranges in the respective biological context is critically missing. UROPA (Universal RObust Peak Annotator) is a command line based tool, intended for universal genomic range annotation. Based on a configuration file, different target features can be prioritized with multiple integrated queries. These can be sensitive for feature type, distance, strand specificity, feature attributes (e.g. protein_coding) or anchor position relative to the feature. UROPA can incorporate reference annotation files (GTF) from different sources (Gencode, Ensembl, RefSeq), as well as custom reference annotation files. Statistics and plots transparently summarize the annotation process. UROPA is implemented in Python and R. Nature Publishing Group UK 2017-06-01 /pmc/articles/PMC5453960/ /pubmed/28572580 http://dx.doi.org/10.1038/s41598-017-02464-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kondili, Maria Fust, Annika Preussner, Jens Kuenne, Carsten Braun, Thomas Looso, Mario UROPA: a tool for Universal RObust Peak Annotation |
title | UROPA: a tool for Universal RObust Peak Annotation |
title_full | UROPA: a tool for Universal RObust Peak Annotation |
title_fullStr | UROPA: a tool for Universal RObust Peak Annotation |
title_full_unstemmed | UROPA: a tool for Universal RObust Peak Annotation |
title_short | UROPA: a tool for Universal RObust Peak Annotation |
title_sort | uropa: a tool for universal robust peak annotation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453960/ https://www.ncbi.nlm.nih.gov/pubmed/28572580 http://dx.doi.org/10.1038/s41598-017-02464-y |
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