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
c24758ff41802b3c46b949f002136c81Arabidopsis_thaliana2022-06-21 19:19:43illuminapaired-end150
b9f87b352d8bb02c1a77da27fd5989daM_musculus2022-06-03 11:06:53illuminapaired-end150
ca2115b20e98c843b6be6549f1efa55cD_melanogaster2022-05-17 15:59:04454single-end60
bd6f688e5012098f6437f441b249b178H_sapiens2022-05-10 22:36:48illuminasingle-end23
710e153b3b2b861eca57b1a1d45c5386D_melanogaster2022-02-22 18:30:57454single-end60
c4727dd7c9b3e375f810a2c3f0c68708H_sapiens2022-02-22 14:22:40illuminapaired-end60
e2cd54aea6a2b6d3081db92958097e4aH_sapiens2022-02-12 20:26:14illuminapaired-end150
cc2bc5310faf14e4b5506b461afb7ba4D_melanogaster2022-02-01 10:37:12illuminasingle-end150
b2fba3b2865cd964ce20ca35297690aeD_melanogaster2022-01-02 13:22:55454single-end60
aa41497ea7e4b6b788d398ac86114f4eD_melanogaster2022-01-02 08:58:52454single-end60

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