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
d4b119a8dd2fb4f213902887a0951407H_sapiens2017-11-21 22:54:08illuminapaired-end60
7b12df6976c50072ed7025b1f52e46edH_sapiens2017-11-16 00:55:16illuminasingle-end100
15bd18d86d96545516fbe2df48625ddeE_coli2017-11-16 00:53:19illuminapaired-end150
839a0a7c4d5d05b60520699828d42604H_sapiens2017-11-14 21:58:17illuminasingle-end50
ab684ea9270efaf285b4eca046af0655H_sapiens2017-11-14 14:11:08illuminasingle-end60
13327c81e6fa6cb161a91eda614de53aD_melanogaster2017-11-14 14:10:16illuminasingle-end60
0c11f15fbbaf93274861a299d0d3856cGallus_gallus2017-11-13 10:42:48illuminasingle-end100
0a9574c676c2826c2d95e9bc2550c6b3M_musculus_reduced2017-11-08 08:21:57illuminasingle-end50
2c2e9d2dda2af5bb2fcd53395cb813ebH_sapiens2017-11-06 16:53:39illuminapaired-end100
e07e51c3541e3d6a63dd27f63283745fH_sapiens2017-11-02 16:57:43illuminapaired-end51

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