Chimera: A Bioconductor package for secondary analysis of fusion products

Bioinformatics

Volumn 30, Issue 24, 2014, Pages 3556-3557

  Beccuti, Marco ^a   Carrara, Matteo ^a   Cordero, Francesca ^a   Lazzarato, Fulvio ^b,c   Donatelli, Susanna ^a   Nadalin, Francesca ^d   Policriti, Alberto ^e   Calogero, Raffaele A ^a  

^a UNIVERSITY OF TURIN   (Italy)

^b UNIVERSITY OF EASTERN PIEDMONT   (Italy)

^c UNIVERSITY OF TURIN   (Italy)

^d UMR 7238   (France)

^e UNIVERSITY OF UDINE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; COMPUTER PROGRAM; GENE FUSION; MOLECULAR GENETICS;

ANIMALS; GENE FUSION; MOLECULAR SEQUENCE ANNOTATION; SOFTWARE;

EID: 84922737207     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu662     Document Type: Article

References (8)

1. Beccuti, M. et al. (2013) The structure of state-of-art gene fusion-finder algorithms. Genome Bioinformatics, 1, 2.
2. Carrara, M. et al. (2013a) State of art fusion-finder algorithms are suitable to detect transcrip-tion-induced chimeras in normal tissues? BMC Bioinformatics, 14(Suppl. 7), S2.
3. Carrara, M. et al. (2013b) State-of-the-art fusion-finder algorithms sensitivity and specificity. Biomed. Res. Int., 2013, 340620.
4. Gentleman, RC. et al. (2004) Bioconductor: open software development for comptional biology and bioinformatics. Genome Biol., 5, R80.
5. Nadalin, F. et al. (2012) GapFiller: a de novo assembly approach to fill the gap within paired reads. BMC Bioinformatics, 13(Suppl. 14), S8.
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7. Shugay, M. et al. (2013) Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions. Bioinformatics, 29, 2539-2546.
8. Wang, Q. et al. (2013) Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives. Brief. Bioinform., 14, 506-519.