FANSe2: A Robust Tool for Quantitative NGS Applications

April 21, 2014 Leave a comment 6,897 Views

Correct and bias-free interpretation of the deep sequencing data is inevitably dependent on the complete mapping of all mappable reads to the reference sequence, especially for quantitative RNA-seq applications. Seed-based algorithms are generally slow but robust, while Burrows-Wheeler Transform (BWT) ...

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FANSe2: A Robust Tool for Quantitative NGS Applications

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