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
b2fba3b2865cd964ce20ca35297690aeD_melanogaster2022-01-02 13:22:55454single-end60
aa41497ea7e4b6b788d398ac86114f4eD_melanogaster2022-01-02 08:58:52454single-end60
bc1bb036e80188fe7c3cde639fc3434dH_sapiens2021-12-11 17:36:35illuminasingle-end30
5ce7485b474898facc723a295adcd94aD_melanogaster2021-11-13 17:52:03454single-end60
a5256e02c1efb60f113304c475e29302D_melanogaster2021-11-09 16:23:48illuminapaired-end150
1d3d41b8b7c43ecf53b9319faf393363D_melanogaster2021-11-09 16:20:50illuminapaired-end150
922beedcb812d0c7f678a76a6de3a277D_melanogaster2021-11-03 08:27:10illuminasingle-end60
dd2ce87101522a4adaa7c91b52de069bD_melanogaster2021-10-23 16:53:31illuminasingle-end60
611d26ed052cb8db000c4d83b2bb5a4eH_sapiens2021-10-03 16:51:20illuminapaired-end100
2a995ffa6a4eae4fe48103689868254eD_melanogaster2021-09-08 23:15:46illuminasingle-end60

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