Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model

Abate, F.; Acquaviva, A.; Paciello, G.; Foti, C.; Ficarra, E.; Ferrarini, Alberto; Delledonne, Massimo; Iacobucci, I.; Soverini, S.; Martinelli, G.; Macii, E.

doi:10.1093/bioinformatics/bts334

We report the fusion genes discovered by the proposed framework on experimentally validated biological samples of chronic myelogenous leukemia (CML) and on public NCBI datasets, for which Bellerophontes is able to detect the exact junction sequence. With respect to state-of-art approaches, Bellerophontes detects the same experimentally validated fusions, however, it is more selective on the total number of detected fusions and provides a more accurate set of spanning reads supporting the junctions. We finally report the fusions involving non-annotated transcripts found in CML samples.

Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model / F. Abate;A. Acquaviva;G. Paciello;C. Foti;E. Ficarra;A. Ferrarini;M. Delledonne;I. Iacobucci;S. Soverini;G. Martinelli;E. Macii. - In: BIOINFORMATICS. - ISSN 1367-4803. - STAMPA. - 28(2012), pp. 2114-2121.

Titolo:	Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model
Autori:	F. Abate A. Acquaviva G. Paciello C. Foti E. Ficarra FERRARINI, Alberto DELLEDONNE, Massimo I. Iacobucci S. Soverini G. Martinelli E. Macii mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2012
Rivista:	BIOINFORMATICS
Citazione:	Bellerophontes: an RNA-Seq data analysis framework for chimeric transcripts discovery based on accurate fusion model / F. Abate;A. Acquaviva;G. Paciello;C. Foti;E. Ficarra;A. Ferrarini;M. Delledonne;I. Iacobucci;S. Soverini;G. Martinelli;E. Macii. - In: BIOINFORMATICS. - ISSN 1367-4803. - STAMPA. - 28(2012), pp. 2114-2121.
Abstract:	We report the fusion genes discovered by the proposed framework on experimentally validated biological samples of chronic myelogenous leukemia (CML) and on public NCBI datasets, for which Bellerophontes is able to detect the exact junction sequence. With respect to state-of-art approaches, Bellerophontes detects the same experimentally validated fusions, however, it is more selective on the total number of detected fusions and provides a more accurate set of spanning reads supporting the junctions. We finally report the fusions involving non-annotated transcripts found in CML samples.
Handle:	http://hdl.handle.net/11562/513951
Appare nelle tipologie:	01.01 Articolo in Rivista

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