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
404c5ef8697088822c88aa73e1c68824D_melanogaster2018-08-14 15:02:08illuminapaired-end60
30952ba36f06792420203f74b83db277E_coli2018-08-06 14:48:04ion_torrentsingle-end150
4ff0769a44d529563c64b75a1aaf552dH_sapiens2018-08-06 13:03:47illuminapaired-end51
fea6b65881b1ab0892566fb478a26e05Saccharomyces_cerevisiae2018-07-31 00:22:50illuminapaired-end150
50d3e669ec8fd54ec3ae5364036f143aSaccharomyces_cerevisiae2018-07-27 20:14:58illuminasingle-end50
e36fcf554e99e1f3a2b5fd499196eaa6D_melanogaster2018-07-25 08:49:14illuminapaired-end50
e1bc1c1fdc90a514d252971342a91347Arabidopsis_thaliana2018-07-24 17:26:24illuminasingle-end150
0b75acea7debea0665280a94869c22a6C_elegans2018-07-13 14:15:35illuminasingle-end60
9981dd417977dbaa7d58a80ddba44b12H_sapiens2018-07-11 13:47:41illuminapaired-end150
3f55d5f326042c6d121b7048b0ae8ccdM_musculus2018-07-10 00:25:38illuminasingle-end22

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