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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...

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Autores principales: Kondili, Maria, Fust, Annika, Preussner, Jens, Kuenne, Carsten, Braun, Thomas, Looso, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
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.
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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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