ChimeraScan: a tool for identifying chimeric transcription in sequencing data

Abstract

Summary: Next generation sequencing (NGS) technologies have enabled de novo gene fusion discovery that could reveal candidates with therapeutic significance in cancer. Here we present an open-source software package, ChimeraScan, for the discovery of chimeric transcription between two independent transcripts in high-throughput transcriptome sequencing data.

Availability: http://chimerascan.googlecode.com

Contact: ude.ltsuw.mod@rehamc

Supplementary Information: Supplementary data are available at Bioinformatics online.

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I am an experienced Bio/Cheminformatics Scientist with over 10 years of experience in management and statistical analysis of large datasets and implementations of machine learning approaches. In addition, I am a skilled programmer with affinity with several programming languages including C/C++, Java, and Python.

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