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
a04354c5550177e7da0f771a524eba77D_melanogaster2017-10-24 04:16:22illuminasingle-end60
43659b893675a988f1d15f1dea6b8578Saccharomyces_cerevisiae2017-10-21 20:07:18illuminasingle-end40
a714e0e57f538f85fed58a38067eab45D_melanogaster2017-10-19 14:07:28illuminasingle-end60
bc01edb257a845749ad371ce94adbd61H_sapiens2017-10-18 19:33:49illuminasingle-end100
70641a8789d6b4b1bf6d7d63bf9cd51bH_sapiens2017-10-13 18:19:36illuminasingle-end50
f7df3a133cb47f89a22e1475232488d1H_sapiens2017-10-11 09:43:33illuminapaired-end60
7bddb4bac9852292d7b15ea96acfc811D_melanogaster2017-10-06 09:05:40illuminasingle-end60
43f66dfdcd2c4bb045c5a2ace1f35fd9H_sapiens2017-10-04 09:08:04illuminasingle-end36
84d10c4b1ec6e29645faae763c6fe48eArabidopsis_thaliana2017-09-22 20:12:41illuminapaired-end125
3905aa798cea84391d20e938b7d088d8Arabidopsis_thaliana2017-09-18 06:03:20illuminapaired-end151

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