Home LiteratureArticle Details
PMID: 21835007 Published · epublish English Journal Article Research Support, N.I.H., Extramural

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

Genome biology ·Vol. 12 ·No. 8 ·2011-08-11 ·Pages R72

Kim D, Salzberg SL

Abstract

TopHat-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/.

MeSH Terms
Algorithms Base Sequence Breast Neoplasms/metabolism Cell Line, Tumor Female Gene Expression Profiling/methods Gene Fusion Humans Male Molecular Sequence Data Prostatic Neoplasms/metabolism Sequence Analysis, RNA Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Kim Daehwan
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA. [email protected]
Salzberg Steven L
References (26)
26 references, click to expand
  1. Chimeric transcript discovery by paired-end transcriptome sequencing.
    Proc Natl Acad Sci U S A. 2009 Jul 28;106(30):12353-8 PMID: 19592507
  2. FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data.
    Genome Biol. 2010;11(10):R104 PMID: 20964841
  3. From RNA-seq reads to differential expression results.
    Genome Biol. 2010;11(12):220 PMID: 21176179
  4. FusionMap: detecting fusion genes from next-generation sequencing data at base-pair resolution.
    Bioinformatics. 2011 Jul 15;27(14):1922-8 PMID: 21593131
  5. Transcriptome sequencing to detect gene fusions in cancer.
    Nature. 2009 Mar 5;458(7234):97-101 PMID: 19136943
  6. Recent advances in RNA sequence analysis.
    F1000 Biol Rep. 2010 Aug 19;2:64 PMID: 21173855
  7. Accurate whole human genome sequencing using reversible terminator chemistry.
    Nature. 2008 Nov 6;456(7218):53-9 PMID: 18987734
  8. The Sequence Alignment/Map format and SAMtools.
    Bioinformatics. 2009 Aug 15;25(16):2078-9 PMID: 19505943
  9. ABySS: a parallel assembler for short read sequence data.
    Genome Res. 2009 Jun;19(6):1117-23 PMID: 19251739
  10. deFuse: an algorithm for gene fusion discovery in tumor RNA-Seq data.
    PLoS Comput Biol. 2011 May;7(5):e1001138 PMID: 21625565
  11. Sensitive gene fusion detection using ambiguously mapping RNA-Seq read pairs.
    Bioinformatics. 2011 Apr 15;27(8):1068-75 PMID: 21330288
  12. De novo assembly and analysis of RNA-seq data.
    Nat Methods. 2010 Nov;7(11):909-12 PMID: 20935650
  13. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
    Genome Biol. 2009;10(3):R25 PMID: 19261174
  14. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.
    Nat Biotechnol. 2010 May;28(5):511-5 PMID: 20436464
  15. Letter: A new consistent chromosomal abnormality in chronic myelogenous leukaemia identified by quinacrine fluorescence and Giemsa staining.
    Nature. 1973 Jun 1;243(5405):290-3 PMID: 4126434
  16. A large genome center's improvements to the Illumina sequencing system.
    Nat Methods. 2008 Dec;5(12):1005-10 PMID: 19034268
  17. Cloning of BCAS3 (17q23) and BCAS4 (20q13) genes that undergo amplification, overexpression, and fusion in breast cancer.
    Genes Chromosomes Cancer. 2002 Dec;35(4):311-7 PMID: 12378525
  18. Global and unbiased detection of splice junctions from RNA-seq data.
    Genome Biol. 2010;11(3):R34 PMID: 20236510
  19. Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line.
    Proc Natl Acad Sci U S A. 2009 Feb 10;106(6):1886-91 PMID: 19181860
  20. A cellular oncogene is translocated to the Philadelphia chromosome in chronic myelocytic leukaemia.
    Nature. 1982 Dec 23;300(5894):765-7 PMID: 6960256
  21. Highly integrated single-base resolution maps of the epigenome in Arabidopsis.
    Cell. 2008 May 2;133(3):523-36 PMID: 18423832
  22. The transcriptional landscape of the yeast genome defined by RNA sequencing.
    Science. 2008 Jun 6;320(5881):1344-9 PMID: 18451266
  23. Identification of fusion genes in breast cancer by paired-end RNA-sequencing.
    Genome Biol. 2011;12(1):R6 PMID: 21247443
  24. TopHat: discovering splice junctions with RNA-Seq.
    Bioinformatics. 2009 May 1;25(9):1105-11 PMID: 19289445
  25. Mapping and quantifying mammalian transcriptomes by RNA-Seq.
    Nat Methods. 2008 Jul;5(7):621-8 PMID: 18516045
  26. BLAT--the BLAST-like alignment tool.
    Genome Res. 2002 Apr;12(4):656-64 PMID: 11932250
Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
Published
2011-08-11
Epub
2011-00-11
Pages
R72
Language
English
Region
England
NLM ID
100960660
PMCID
PMC3245612
Subset
IM
Grants
NHGRI NIH HHS · R01 HG006677 · United States
NHGRI NIH HHS · R01-HG006102 · United States
NHGRI NIH HHS · R01 HG006102-02 · United States
NHGRI NIH HHS · R01 HG006677-12 · United States
NLM NIH HHS · R01-LM006845 · United States
NHGRI NIH HHS · R01 HG006102 · United States
NHGRI NIH HHS · R01 HG006677-13 · United States
NIGMS NIH HHS · R01 GM083873 · United States
NHGRI NIH HHS · R01 HG006102-01 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]