Fast personalized benchmarks and optimization for NGS read mapping.

Start a mapper benchmark now View Example Report Wiki and Download


...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
2a995ffa6a4eae4fe48103689868254eD_melanogaster2021-09-08 23:15:46illuminasingle-end60
e2b8ff65aa21f4c870d7312a706ebc13Saccharomyces_cerevisiae2021-08-31 22:55:15illuminapaired-end35
1407d21de3685a060774f66c6af112c6H_sapiens2021-07-19 05:23:14illuminasingle-end60
a5e3e05b66d9eb990893945a5e6f664cC_elegans2021-07-07 00:46:21illuminasingle-end40
f7433cb1dfd8a07cecc5cb4338090ae9C_elegans2021-06-24 20:46:53illuminapaired-end50
b18507de66d72dacd996dd2d75e534d2H_sapiens2021-06-21 07:44:14illuminapaired-end40
70f0c58b51cbf6719646f864c5f5da17Bos_taurus2021-06-20 20:57:23illuminapaired-end75
743a40d46ef341f42211afe920cfca08H_sapiens2021-06-20 17:57:12illuminapaired-end75
3f4456ca182660c6683c3f4fc675230aH_sapiens2021-06-20 17:41:10illuminapaired-end75
98fdd92e03d29b695ab6034c7f4158efH_sapiens2021-06-20 17:40:48illuminapaired-end75

Copyright © 2021, CIBIV.