Introduction

Despite recent progress, computational tools that identify gene fusions from next-generation whole transcriptome sequencing data are often limited in accuracy and scalability. Here, we present a software package, BreakFusion that combines the strength of reference alignment followed by read-pair analysis and de novo assembly to achieve a good balance in sensitivity, specificity and computational efficiency.http://bioinformatics.mdanderson.org/main/BreakFusion

Publications

  1. BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data.
    Cite this
    Chen K, Wallis JW, Kandoth C, Kalicki-Veizer JM, Mungall KL, Mungall AJ, Jones SJ, Marra MA, Ley TJ, Mardis ER, Wilson RK, Weinstein JN, Ding L, 2012-07-01 - Bioinformatics (Oxford, England)

Credits

  1. Ken Chen
    Developer

    Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center

  2. John W Wallis
    Developer

  3. Cyriac Kandoth
    Developer

  4. Joelle M Kalicki-Veizer
    Developer

  5. Karen L Mungall
    Developer

  6. Andrew J Mungall
    Developer

  7. Steven J Jones
    Developer

  8. Marco A Marra
    Developer

  9. Timothy J Ley
    Developer

  10. Elaine R Mardis
    Developer

  11. Richard K Wilson
    Developer

  12. John N Weinstein
    Developer

  13. Li Ding
    Investigator

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Summary
AccessionBT001970
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC++, Perl
User InterfaceTerminal Command Line
Download Count0
Submitted ByLi Ding