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JAFFA: High sensitivity transcriptome-focused fusion gene detection

Genomic instability is a hallmark of cancer and, as such, structural alterations and fusion genes are common events in the cancer landscape. RNA sequencing (RNA-Seq) is a powerful method for profiling cancers, but current methods for identifying fusion genes are optimised for short reads. JAFFA (htt...

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Detalles Bibliográficos
Autores principales: Davidson, Nadia M, Majewski, Ian J, Oshlack, Alicia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445815/
https://www.ncbi.nlm.nih.gov/pubmed/26019724
http://dx.doi.org/10.1186/s13073-015-0167-x
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author Davidson, Nadia M
Majewski, Ian J
Oshlack, Alicia
author_facet Davidson, Nadia M
Majewski, Ian J
Oshlack, Alicia
author_sort Davidson, Nadia M
collection PubMed
description Genomic instability is a hallmark of cancer and, as such, structural alterations and fusion genes are common events in the cancer landscape. RNA sequencing (RNA-Seq) is a powerful method for profiling cancers, but current methods for identifying fusion genes are optimised for short reads. JAFFA (https://github.com/Oshlack/JAFFA/wiki) is a sensitive fusion detection method that outperforms other methods with reads of 100 bp or greater. JAFFA compares a cancer transcriptome to the reference transcriptome, rather than the genome, where the cancer transcriptome is inferred using long reads directly or by de novo assembling short reads. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0167-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-44458152015-05-28 JAFFA: High sensitivity transcriptome-focused fusion gene detection Davidson, Nadia M Majewski, Ian J Oshlack, Alicia Genome Med Method Genomic instability is a hallmark of cancer and, as such, structural alterations and fusion genes are common events in the cancer landscape. RNA sequencing (RNA-Seq) is a powerful method for profiling cancers, but current methods for identifying fusion genes are optimised for short reads. JAFFA (https://github.com/Oshlack/JAFFA/wiki) is a sensitive fusion detection method that outperforms other methods with reads of 100 bp or greater. JAFFA compares a cancer transcriptome to the reference transcriptome, rather than the genome, where the cancer transcriptome is inferred using long reads directly or by de novo assembling short reads. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0167-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-11 /pmc/articles/PMC4445815/ /pubmed/26019724 http://dx.doi.org/10.1186/s13073-015-0167-x Text en © Davidson et al.; licensee BioMed Central. 2015 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Method
Davidson, Nadia M
Majewski, Ian J
Oshlack, Alicia
JAFFA: High sensitivity transcriptome-focused fusion gene detection
title JAFFA: High sensitivity transcriptome-focused fusion gene detection
title_full JAFFA: High sensitivity transcriptome-focused fusion gene detection
title_fullStr JAFFA: High sensitivity transcriptome-focused fusion gene detection
title_full_unstemmed JAFFA: High sensitivity transcriptome-focused fusion gene detection
title_short JAFFA: High sensitivity transcriptome-focused fusion gene detection
title_sort jaffa: high sensitivity transcriptome-focused fusion gene detection
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445815/
https://www.ncbi.nlm.nih.gov/pubmed/26019724
http://dx.doi.org/10.1186/s13073-015-0167-x
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