TopHat-Fusion: an algorithm for discovery of novel fusion transcripts

dc.contributor.authorKim, Daehwan
dc.contributor.authorSalzberg, Steven L
dc.date.accessioned2013-01-10T20:37:47Z
dc.date.available2013-01-10T20:37:47Z
dc.date.issued2011-08-11
dc.description.abstractTopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing annotation. Because it is independent of gene annotation, TopHat-Fusion can discover fusion products deriving from known genes, unknown genes and unannotated splice variants of known genes. Using RNA-seq data from breast and prostate cancer cell lines, we detected both previously reported and novel fusions with solid supporting evidence. TopHat-Fusion is available at http://tophat-fusion.sourceforge.net/.en_US
dc.description.urihttps://doi.org/10.1186/gb-2011-12-8-r72
dc.identifier.citationKim, D., Salzberg, S.L. TopHat-Fusion: an algorithm for discovery of novel fusion transcripts. Genome Biol 12, R72 (2011).en_US
dc.identifier.urihttp://hdl.handle.net/1903/13349
dc.language.isoen_USen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtComputer Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectTopHat-Fusionen_US
dc.subjectalgorithmen_US
dc.subjectusion gene productsen_US
dc.subjectTopHaten_US
dc.subjectRNA-seqen_US
dc.titleTopHat-Fusion: an algorithm for discovery of novel fusion transcriptsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Kim and Salzberg.pdf
Size:
455.83 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.57 KB
Format:
Item-specific license agreed upon to submission
Description: