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
de339e7a2450d618435ba9f439a86039Arabidopsis_thaliana2019-02-08 10:12:44illuminapaired-end200
fd85f6571e1acd38c6daf69771e8bff8H_sapiens2019-02-08 08:24:00illuminapaired-end50
58e0682421a90b95b823bff840dda29eH_sapiens2019-02-08 07:39:14illuminapaired-end150
43eb624832f96500795790c768f77a6eD_melanogaster2019-02-08 07:33:25illuminasingle-end60
60888270e3a2fbda7ed340ac2894456aH_sapiens2019-02-07 04:54:24illuminasingle-end22
95e37d442cf53a44d63d029285514d90H_sapiens2019-01-23 00:17:20illuminasingle-end35
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

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