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
550e44394139b4f9ff4d8f5d1ede8a8fH_sapiens2018-11-13 09:24:23illuminasingle-end40
be9adfa40f58b4dfd03b6dd3624949efD_melanogaster2018-11-13 09:16:42illuminasingle-end40
959fff07f73e2ad276591caaff4e83faH_sapiens2018-11-13 08:05:19illuminapaired-end40
023be73dabd493f04945e37217bf7c31M_musculus2018-11-10 02:44:05illuminasingle-end60
4cb6b18a4da1297d4cf7e8f8ca244517D_melanogaster2018-11-08 00:34:31illuminapaired-end101
337f8b971fac4ff7ee4490260598b300Arabidopsis_thaliana2018-11-05 11:23:31illuminapaired-end100
9df2b6f30934a6f088552bf04d77f27bD_melanogaster2018-11-01 22:13:10illuminasingle-end60
4c21a44c9042d3b44a6729ccaaa2740eE_coli2018-10-22 17:15:37illuminasingle-end450
4e92df353baa1274023a9524957cd99fE_coli2018-10-21 22:50:20illuminasingle-end60
ab0014cf05e86cd590ae0b3283410abfH_sapiens2018-10-19 18:43:10illuminapaired-end36

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