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Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R

SUMMARY: Nascent transcript measurements derived from run-on sequencing experiments are critical for the investigation of transcriptional mechanisms and regulatory networks. However, conventional mRNA gene annotations significantly differ from the boundaries of primary transcripts. New primary trans...

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Detalles Bibliográficos
Autores principales: Anderson, Warren D, Duarte, Fabiana M, Civelek, Mete, Guertin, Michael J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203734/
https://www.ncbi.nlm.nih.gov/pubmed/31917388
http://dx.doi.org/10.1093/bioinformatics/btaa011
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author Anderson, Warren D
Duarte, Fabiana M
Civelek, Mete
Guertin, Michael J
author_facet Anderson, Warren D
Duarte, Fabiana M
Civelek, Mete
Guertin, Michael J
author_sort Anderson, Warren D
collection PubMed
description SUMMARY: Nascent transcript measurements derived from run-on sequencing experiments are critical for the investigation of transcriptional mechanisms and regulatory networks. However, conventional mRNA gene annotations significantly differ from the boundaries of primary transcripts. New primary transcript annotations are needed to accurately interpret run-on data. We developed the primaryTranscriptAnnotation R package to infer the transcriptional start and termination sites of primary transcripts from genomic run-on data. We then used these inferred coordinates to annotate transcriptional units identified de novo. This package provides the novel utility to integrate data-driven primary transcript annotations with transcriptional unit coordinates identified in an unbiased manner. Highlighting the importance of using accurate primary transcript coordinates, we demonstrate that this new methodology increases the detection of differentially expressed transcripts and provides more accurate quantification of RNA polymerase pause indices. AVAILABILITY AND IMPLEMENTATION: https://github.com/WarrenDavidAnderson/genomicsRpackage/tree/master/primaryTranscriptAnnotation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-72037342020-05-11 Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R Anderson, Warren D Duarte, Fabiana M Civelek, Mete Guertin, Michael J Bioinformatics Applications Notes SUMMARY: Nascent transcript measurements derived from run-on sequencing experiments are critical for the investigation of transcriptional mechanisms and regulatory networks. However, conventional mRNA gene annotations significantly differ from the boundaries of primary transcripts. New primary transcript annotations are needed to accurately interpret run-on data. We developed the primaryTranscriptAnnotation R package to infer the transcriptional start and termination sites of primary transcripts from genomic run-on data. We then used these inferred coordinates to annotate transcriptional units identified de novo. This package provides the novel utility to integrate data-driven primary transcript annotations with transcriptional unit coordinates identified in an unbiased manner. Highlighting the importance of using accurate primary transcript coordinates, we demonstrate that this new methodology increases the detection of differentially expressed transcripts and provides more accurate quantification of RNA polymerase pause indices. AVAILABILITY AND IMPLEMENTATION: https://github.com/WarrenDavidAnderson/genomicsRpackage/tree/master/primaryTranscriptAnnotation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-05-01 2020-01-09 /pmc/articles/PMC7203734/ /pubmed/31917388 http://dx.doi.org/10.1093/bioinformatics/btaa011 Text en © The Author(s) 2020. Published by Oxford University Press. 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 Applications Notes
Anderson, Warren D
Duarte, Fabiana M
Civelek, Mete
Guertin, Michael J
Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title_full Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title_fullStr Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title_full_unstemmed Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title_short Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R
title_sort defining data-driven primary transcript annotations with primarytranscriptannotation in r
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203734/
https://www.ncbi.nlm.nih.gov/pubmed/31917388
http://dx.doi.org/10.1093/bioinformatics/btaa011
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