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DROPA: DRIP-seq optimized peak annotator
BACKGROUND: R-loops are three-stranded nucleic acid structures that usually form during transcription and that may lead to gene regulation or genome instability. DRIP (DNA:RNA Immunoprecipitation)-seq techniques are widely used to map R-loops genome-wide providing insights into R-loop biology. Howev...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685255/ https://www.ncbi.nlm.nih.gov/pubmed/31387525 http://dx.doi.org/10.1186/s12859-019-3009-9 |
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author | Russo, Marco De Lucca, Bruno Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Capranico, Giovanni |
author_facet | Russo, Marco De Lucca, Bruno Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Capranico, Giovanni |
author_sort | Russo, Marco |
collection | PubMed |
description | BACKGROUND: R-loops are three-stranded nucleic acid structures that usually form during transcription and that may lead to gene regulation or genome instability. DRIP (DNA:RNA Immunoprecipitation)-seq techniques are widely used to map R-loops genome-wide providing insights into R-loop biology. However, annotation of DRIP-seq peaks to genes can be a tricky step, due to the lack of strand information when using the common basic DRIP technique. RESULTS: Here, we introduce DRIP-seq Optimized Peak Annotator (DROPA), a new tool for gene annotation of R-loop peaks based on gene expression information. DROPA allows a full customization of annotation options, ranging from the choice of reference datasets to gene feature definitions. DROPA allows to assign R-loop peaks to the DNA template strand in gene body with a false positive rate of less than 7%. A comparison of DROPA performance with three widely used annotation tools show that it identifies less false positive annotations than the others. CONCLUSIONS: DROPA is a fully customizable peak-annotation tool optimized for co-transcriptional DRIP-seq peaks, which allows a finest gene annotation based on gene expression information. Its output can easily be integrated into pipelines to perform downstream analyses, while useful and informative summary plots and statistical enrichment tests can be produced. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3009-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6685255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66852552019-08-12 DROPA: DRIP-seq optimized peak annotator Russo, Marco De Lucca, Bruno Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Capranico, Giovanni BMC Bioinformatics Software BACKGROUND: R-loops are three-stranded nucleic acid structures that usually form during transcription and that may lead to gene regulation or genome instability. DRIP (DNA:RNA Immunoprecipitation)-seq techniques are widely used to map R-loops genome-wide providing insights into R-loop biology. However, annotation of DRIP-seq peaks to genes can be a tricky step, due to the lack of strand information when using the common basic DRIP technique. RESULTS: Here, we introduce DRIP-seq Optimized Peak Annotator (DROPA), a new tool for gene annotation of R-loop peaks based on gene expression information. DROPA allows a full customization of annotation options, ranging from the choice of reference datasets to gene feature definitions. DROPA allows to assign R-loop peaks to the DNA template strand in gene body with a false positive rate of less than 7%. A comparison of DROPA performance with three widely used annotation tools show that it identifies less false positive annotations than the others. CONCLUSIONS: DROPA is a fully customizable peak-annotation tool optimized for co-transcriptional DRIP-seq peaks, which allows a finest gene annotation based on gene expression information. Its output can easily be integrated into pipelines to perform downstream analyses, while useful and informative summary plots and statistical enrichment tests can be produced. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3009-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-06 /pmc/articles/PMC6685255/ /pubmed/31387525 http://dx.doi.org/10.1186/s12859-019-3009-9 Text en © The Author(s). 2019 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 Russo, Marco De Lucca, Bruno Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Capranico, Giovanni DROPA: DRIP-seq optimized peak annotator |
title | DROPA: DRIP-seq optimized peak annotator |
title_full | DROPA: DRIP-seq optimized peak annotator |
title_fullStr | DROPA: DRIP-seq optimized peak annotator |
title_full_unstemmed | DROPA: DRIP-seq optimized peak annotator |
title_short | DROPA: DRIP-seq optimized peak annotator |
title_sort | dropa: drip-seq optimized peak annotator |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685255/ https://www.ncbi.nlm.nih.gov/pubmed/31387525 http://dx.doi.org/10.1186/s12859-019-3009-9 |
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