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

@inproceedings{Smolka2015TeaserIB,
  title={Teaser: Individualized benchmarking and optimization of read mapping results for NGS data},
  author={Moritz Smolka and Philipp Rescheneder and Michael C. Schatz and Arndt von Haeseler and Fritz J. Sedlazeck},
  booktitle={Genome Biology},
  year={2015}
}
Mapping reads to a genome remains challenging, especially for non-model organisms with lower quality assemblies, or for organisms with higher mutation rates. 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, a software that assists in these choices through rapid automated benchmarking of different mappers and parameter settings for individualized data… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 43 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Mason-­‐A Read Simulator for Second Generation Sequencing Data

M Holtgrewe
Institut für Mathematik und Informatik, Freie Universität Berlin; • 2010
View 7 Excerpts
Highly Influenced

Ten years of next-­‐ generation sequencing technology

EL van Dijk, H Auger, Y Jaszczyszyn, C Thermes
Trends Genet • 2014

Similar Papers

Loading similar papers…