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Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliabil...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600148/ https://www.ncbi.nlm.nih.gov/pubmed/28263959 http://dx.doi.org/10.1038/nmeth.4197 |
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author | Patro, Rob Duggal, Geet Love, Michael I Irizarry, Rafael A Kingsford, Carl |
author_facet | Patro, Rob Duggal, Geet Love, Michael I Irizarry, Rafael A Kingsford, Carl |
author_sort | Patro, Rob |
collection | PubMed |
description | We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure. |
format | Online Article Text |
id | pubmed-5600148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-56001482017-09-19 Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference Patro, Rob Duggal, Geet Love, Michael I Irizarry, Rafael A Kingsford, Carl Nat Methods Article We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure. 2017-03-06 2017-04 /pmc/articles/PMC5600148/ /pubmed/28263959 http://dx.doi.org/10.1038/nmeth.4197 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Patro, Rob Duggal, Geet Love, Michael I Irizarry, Rafael A Kingsford, Carl Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title | Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title_full | Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title_fullStr | Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title_full_unstemmed | Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title_short | Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
title_sort | salmon: fast and bias-aware quantification of transcript expression using dual-phase inference |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600148/ https://www.ncbi.nlm.nih.gov/pubmed/28263959 http://dx.doi.org/10.1038/nmeth.4197 |
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