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
be30164040a72590349c8e5589da41ebD_melanogaster2018-09-20 14:18:37illuminasingle-end22
b0bfc21db96b7744c4389e9b4b565dc9Saccharomyces_cerevisiae2018-09-06 23:50:01illuminapaired-end150
37932f46d81271bed2cae5ca41c9d972Saccharomyces_cerevisiae2018-09-03 13:39:03illuminasingle-end50
a588fafacb71f50b55e5a5739e179558E_coli2018-08-30 14:52:55ion_torrentsingle-end100
3f0952a92d640dea6a7f5d449db65923E_coli2018-08-30 13:35:12ion_torrentsingle-end100
43bdd5cc22aa7c6d1994fe8ebc8d72d4M_musculus2018-08-27 09:13:45illuminasingle-end25
ff62cbf4348f21949b4a4be50bea9679Arabidopsis_thaliana2018-08-27 03:12:55illuminapaired-end150
316281ab4f84058f3c27332d7303df8fSaccharomyces_cerevisiae2018-08-24 14:32:27illuminasingle-end50
f3cfc70a77888b8626def783d24d0e80E_coli2018-08-22 19:11:50illuminapaired-end65
c474138b0d14daeadd1924f6eed36587D_melanogaster2018-08-20 18:59:23illuminasingle-end60

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