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
4f9da0407e9bae0f2cd779a07f7552b0D_melanogaster2018-10-14 22:07:30illuminasingle-end60
42fc1d552498df3b8ed5a53dd70b689aGallus_gallus2018-10-11 01:04:18illuminapaired-end150
6a765d43cbdb960905eef4668388302eH_sapiens2018-10-09 19:57:12illuminapaired-end60
d355779ac9fa0c29904cf2683bc616bdH_sapiens2018-10-08 17:43:26illuminasingle-end40
0ae17b2547a4a7bf1a0dbd8dcfe180bbH_sapiens2018-10-08 14:01:47illuminasingle-end50
73b7a31da9ec873be5a7818478a53cf8H_sapiens2018-10-08 13:12:33illuminasingle-end60
bc5e667ff41f75be5690d71ac8911c05Saccharomyces_cerevisiae2018-10-03 17:09:20illuminapaired-end150
58281c12b324089e734fe0553bf2f5c0D_melanogaster2018-10-03 16:44:21illuminasingle-end60
ccbbfa15c14aa12f9ad8363903f909c3Saccharomyces_cerevisiae2018-10-03 16:36:47illuminapaired-end150
de78d5f7fdafaffb89a6272863840c5fSaccharomyces_cerevisiae2018-10-03 16:33:30illuminapaired-end150

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