Title |
CRAC: an integrated approach to the analysis of RNA-seq reads
|
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Published in |
Genome Biology, March 2013
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DOI | 10.1186/gb-2013-14-3-r30 |
Pubmed ID | |
Authors |
Nicolas Philippe, Mikaël Salson, Thérèse Commes, Eric Rivals |
Abstract |
A large number of RNA-sequencing studies set out to predict mutations, splice junctions or fusion RNAs. We propose a method, CRAC, that integrates genomic locations and local coverage to enable such predictions to be made directly from RNA-seq read analysis. A k-mer profiling approach detects candidate mutations, indels and splice or chimeric junctions in each single read. CRAC increases precision compared with existing tools, reaching 99:5% for splice junctions, without losing sensitivity. Importantly, CRAC predictions improve with read length. In cancer libraries, CRAC recovered 74% of validated fusion RNAs and predicted novel recurrent chimeric junctions. CRAC is available at http://crac.gforge.inria.fr. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
France | 7 | 3% |
Germany | 4 | 2% |
United Kingdom | 4 | 2% |
Norway | 2 | <1% |
Korea, Republic of | 2 | <1% |
Brazil | 1 | <1% |
Slovenia | 1 | <1% |
Philippines | 1 | <1% |
Other | 0 | 0% |
Unknown | 213 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 73 | 30% |
Student > Ph. D. Student | 59 | 24% |
Student > Master | 32 | 13% |
Other | 17 | 7% |
Professor > Associate Professor | 9 | 4% |
Other | 32 | 13% |
Unknown | 21 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 126 | 52% |
Biochemistry, Genetics and Molecular Biology | 43 | 18% |
Computer Science | 25 | 10% |
Engineering | 7 | 3% |
Medicine and Dentistry | 6 | 2% |
Other | 9 | 4% |
Unknown | 27 | 11% |