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Threshold-seq: a tool for determining the threshold in short RNA-seq datasets

SUMMARY: We present ‘Threshold-seq,’ a new approach for determining thresholds in deep-sequencing datasets of short RNA transcripts. Threshold-seq addresses the critical question of how many reads need to support a short RNA molecule in a given dataset before it can be considered different from ‘bac...

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Detalles Bibliográficos
Autores principales: Magee, Rogan, Loher, Phillipe, Londin, Eric, Rigoutsos, Isidore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870860/
https://www.ncbi.nlm.nih.gov/pubmed/28203700
http://dx.doi.org/10.1093/bioinformatics/btx073
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author Magee, Rogan
Loher, Phillipe
Londin, Eric
Rigoutsos, Isidore
author_facet Magee, Rogan
Loher, Phillipe
Londin, Eric
Rigoutsos, Isidore
author_sort Magee, Rogan
collection PubMed
description SUMMARY: We present ‘Threshold-seq,’ a new approach for determining thresholds in deep-sequencing datasets of short RNA transcripts. Threshold-seq addresses the critical question of how many reads need to support a short RNA molecule in a given dataset before it can be considered different from ‘background.’ The proposed scheme is easy to implement and incorporate into existing pipelines. AVAILABILITY AND IMPLEMENTATION: Source code of Threshold-seq is freely available as an R package at: http://cm.jefferson.edu/threshold-seq/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58708602018-03-29 Threshold-seq: a tool for determining the threshold in short RNA-seq datasets Magee, Rogan Loher, Phillipe Londin, Eric Rigoutsos, Isidore Bioinformatics Applications Notes SUMMARY: We present ‘Threshold-seq,’ a new approach for determining thresholds in deep-sequencing datasets of short RNA transcripts. Threshold-seq addresses the critical question of how many reads need to support a short RNA molecule in a given dataset before it can be considered different from ‘background.’ The proposed scheme is easy to implement and incorporate into existing pipelines. AVAILABILITY AND IMPLEMENTATION: Source code of Threshold-seq is freely available as an R package at: http://cm.jefferson.edu/threshold-seq/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-01 2017-02-14 /pmc/articles/PMC5870860/ /pubmed/28203700 http://dx.doi.org/10.1093/bioinformatics/btx073 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Magee, Rogan
Loher, Phillipe
Londin, Eric
Rigoutsos, Isidore
Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title_full Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title_fullStr Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title_full_unstemmed Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title_short Threshold-seq: a tool for determining the threshold in short RNA-seq datasets
title_sort threshold-seq: a tool for determining the threshold in short rna-seq datasets
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870860/
https://www.ncbi.nlm.nih.gov/pubmed/28203700
http://dx.doi.org/10.1093/bioinformatics/btx073
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