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
01833c573f3743f34a026880ce18ed97D_melanogaster2019-10-18 21:30:26illuminasingle-end75
9bb0f858dde1fb6f7de122c08da6c47bH_sapiens2019-10-16 14:05:31illuminapaired-end100
486fb29762475ca2ce1c43cdc397f6bcSaccharomyces_cerevisiae2019-10-09 12:44:07illuminapaired-end150
02eca4dc5c25da40221709f15ddac09fSaccharomyces_cerevisiae2019-10-09 10:06:24illuminapaired-end150
06d70cb30d7e87e92c19011c0ca18b58Saccharomyces_cerevisiae2019-10-09 10:05:34illuminapaired-end150
9fda94de1bbdaa972ecadc11f701896dSaccharomyces_cerevisiae2019-10-09 09:58:32illuminapaired-end150
e2bc20aeb955155dc7296ec00b5d3157Saccharomyces_cerevisiae2019-10-09 09:56:49illuminapaired-end150
7ada8373daabc49a771f0aea79832fbfSaccharomyces_cerevisiae2019-10-09 09:56:33illuminapaired-end150
73be4f6b0573d642b2e818db687f93a4Saccharomyces_cerevisiae2019-10-09 09:55:24illuminapaired-end150
5e500c25dae60242b743922126bca4ebSaccharomyces_cerevisiae2019-10-09 09:52:53illuminapaired-end150

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