TY - JOUR T1 - Teaser: Individualized benchmarking and optimization of read mapping results for NGS data JF - bioRxiv DO - 10.1101/025858 SP - 025858 AU - Moritz Smolka AU - Philipp Rescheneder AU - Michael C. Schatz AU - Arndt von Haeseler AU - Fritz J. Sedlazeck Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/09/01/025858.abstract N2 - Mapping reads to a genome remains challenging, especially for non-model organisms with poorer quality assemblies, or for organisms with higher rates of mutations. While most research has focused on speeding up the mapping process, little attention has been paid to optimize the choice of mapper and parameters for a user’s dataset. Here we present Teaser, which assists in these choices through rapid automated benchmarking of different mappers and parameter settings for individualized data. Within minutes, Teaser completes a quantitative evaluation of an ensemble of mapping algorithms and parameters. Using Teaser, we demonstrate how Bowtie2 can be optimized for different data. ER -