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 DOrso. "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
24d206dec9772782e6efab15944abfc6H_sapiens2017-08-14 07:58:37illuminapaired-end60
572b02d835a09aa985fb40e23486baf8D_melanogaster2017-08-02 18:04:55illuminasingle-end60
370d4fd7160225b686abe184c6e4adf0D_melanogaster2017-07-26 21:37:41illuminasingle-end60
36c0b9ed4ca2236f8f8f48f19e427ab8D_melanogaster2017-07-25 21:02:27illuminasingle-end60
dc51ba987f7f2a219710af74d49a4380D_melanogaster2017-07-24 21:27:04illuminapaired-end60
e06f9a576d69697f7ad166f2c53eac4fD_melanogaster2017-07-20 08:48:52illuminapaired-end202
0542e1134664dca94011ee7ee39d31ffArabidopsis_thaliana2017-07-13 12:43:46illuminasingle-end50
a720be7d510db33409606fe9fee515f7M_musculus2017-07-12 11:17:31illuminasingle-end60
e83f9645ef2d1149743bbde56be3c399Arabidopsis_thaliana2017-07-10 17:32:17illuminapaired-end150
b705aa0185e37b61d45ed27cf2a0ba62D_melanogaster2017-07-06 20:29:40illuminapaired-end60

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