Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
Identifieur interne : 001C37 ( Ncbi/Curation ); précédent : 001C36; suivant : 001C38Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
Auteurs : Rob Patro [États-Unis] ; Stephen M. Mount [États-Unis] ; Carl Kingsford [États-Unis]Source :
- Nature biotechnology [ 1087-0156 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Isoformes d'ARN.
- génétique : Isoformes d'ARN.
- Algorithmes, Analyse de séquence d'ARN, Biochimie de l'encéphale, Biologie informatique, Humains, Isoformes d'ARN, Logiciel, Modèles biologiques.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : RNA Isoforms.
- chemical , chemistry : RNA Isoforms.
- chemical , genetics : RNA Isoforms.
- methods : Computational Biology, Sequence Analysis, RNA.
- Algorithms, Brain Chemistry, Humans, Models, Biological, Software.
Abstract
We introduce Sailfish, a computational method for quantifying the abundance of previously annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids mapping reads, a time-consuming step in all current methods, it provides quantification estimates much faster than do existing approaches (typically 20 times faster) without loss of accuracy. By facilitating frequent reanalysis of data and reducing the need to optimize parameters, Sailfish exemplifies the potential of lightweight algorithms for efficiently processing sequencing reads.
Url:
DOI: 10.1038/nbt.2862
PubMed: 24752080
PubMed Central: 4077321
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PMC:4077321Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">We introduce Sailfish, a computational method for quantifying the abundance of previously annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids mapping reads, a time-consuming step in all current methods, it provides quantification estimates much faster than do existing approaches (typically 20 times faster) without loss of accuracy. By facilitating frequent reanalysis of data and reducing the need to optimize parameters, Sailfish exemplifies the potential of lightweight algorithms for efficiently processing sequencing reads.</p>
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