Fast personalized benchmarks and optimization for NGS read mapping.

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...a suitable mapper for your next-gen sequencing data in minutes


...the right mapping quality thresholds for filtering


...mapper parameters for accuracy or throughput


...simulation and real data results

Teaser analyzes the performance of read mappers based on a data set provided by you. After you enter key characteristics such as read length and reference genome, Teaser will simulate read data including the gold standard alignment. After the simulation, Teaser automatically runs and evaluates each mapper for the selected parameters and summarizes the results in a report. Teaser also supports benchmarking mappers on real data or custom simulations, as well as testing new mappers and custom parameter sets. You can start using Teaser right now using this web application, or download and install it to unlock all advanced features.

If you use Teaser to optimize read mapping in your study, please cite: Smolka M, Rescheneder P, Schatz MC, von Haeseler A and Sedlazeck FJ. Teaser: Individualized benchmarking and optimization of read mapping results for NGS data. Genome Biology 2015, 16:235 (22 October 2015). DOI: 10.1186/s13059-015-0803-1
Recent Publications that cite Teaser
  • Therkildsen, Nina Overgaard, and Stephen R. Palumbi. "Practical lowcoverage genomewide sequencing of hundreds of individually barcoded samples for population and evolutionary genomics in nonmodel species." Molecular ecology resources 17.2 (2017): 194-208.

  • Dennenmoser, Stefan, et al. "Adaptive genomic divergence under high gene flow between freshwater and brackishwater ecotypes of prickly sculpin (Cottus asper) revealed by PoolSeq." Molecular ecology 26.1 (2017): 25-42.

  • Vurture, Gregory W., et al. "GenomeScope: Fast reference-free genome profiling from short reads." Bioinformatics (2017): btx153.

  • Guzman, Carlos, and Ivan D'Orso. "CIPHER: a flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction." BMC bioinformatics 18.1 (2017): 363.

  • Pfeifer, S. P. "From next-generation resequencing reads to a high-quality variant data set." Heredity (2016).

  • Brinda, Karel. Novel computational techniques for mapping and classifying Next-Generation Sequencing data. Diss. Universite Paris-Est Marne-la-Valle, 2016.
Update News

New Teaser Version 01/09/2016

Teaser 1.2 is now available and includes various features such as updated visualization, configuration for the segemehl, CUSHAW3, Stampy and Bowtie mappers and improvements in read simulation.

Teaser Published10/22/2015

We are happy to announce the publication of Teaser in Genome Biology! Link to Article

Public Version Available 08/12/2015

Version 1.0f of the Teaser framework is now available for public use on the CIBIV servers.
Recent Benchmarks
Teaser Accession Organism Date Platform Library Read Length
3381db33fc59cafb00bf1d45d484b191Danio_rerio2019-01-16 13:46:51illuminasingle-end100
b42fd587f16ca12a08df9ed982141426H_sapiens2019-01-15 13:09:06illuminapaired-end75
eba4a667114e0b530a53445828381094Saccharomyces_cerevisiae2018-12-10 11:53:53illuminapaired-end150
962490c97e90f4762da500df0fb9428eD_melanogaster2018-12-07 14:25:32illuminapaired-end150
0099470d1042c35fd42f63c3beb9132cD_melanogaster2018-12-05 12:30:28illuminasingle-end100
913dd6b6c8f0bd5901b65d962c7cd698H_sapiens2018-12-03 21:55:17illuminasingle-end36
293e14569a4a233bf507f46e325e460eH_sapiens2018-11-26 07:06:07illuminapaired-end60
63224990d2f5aeaa3b674d6cbc4acc8fD_melanogaster2018-11-23 04:01:37illuminasingle-end60
940d34bf07c6143b2e6e8116a29b2b51D_melanogaster2018-11-22 18:34:10illuminasingle-end60
550e44394139b4f9ff4d8f5d1ede8a8fH_sapiens2018-11-13 09:24:23illuminasingle-end40

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