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bioRxiv · 10.1101/025858

Teaser: Individualized benchmarking and optimization of read mapping results for NGS data

Moritz Smolka·Philipp Rescheneder·Michael C Schatz·Arndt von Haeseler·Fritz J Sedlazeck
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Abstract

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 users 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.

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Moritz Smolka, Philipp Rescheneder, Michael C Schatz, Arndt von Haeseler, Fritz J Sedlazeck. 2015-09-01. Teaser: Individualized benchmarking and optimization of read mapping results for NGS data. https://doi.org/10.1101/025858

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