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
11edf1c153aeb81715837035d76f758fM_musculus2019-12-06 00:49:18illuminasingle-end60
512d50a46b21be81c6830fe5c695a65fH_sapiens2019-12-05 08:51:52illuminapaired-end101
28062fd0de3b21711eee0a4eaf5f6637Arabidopsis_thaliana2019-11-21 22:19:23illuminasingle-end150
33481421704636c4b27677fb841fe50bH_sapiens2019-11-21 13:45:50illuminapaired-end150
1c9acd2d6f45a97dd783324cabe84f88H_sapiens2019-11-21 12:29:06illuminapaired-end150
747b92146692453017093664b913d788H_sapiens2019-11-18 08:55:02illuminapaired-end150
9c1c92dc65e8d1edbd07a8fae232a138H_sapiens2019-11-13 07:02:08illuminapaired-end150
ad94e9961865730a2a7e72bbacba57a5D_melanogaster2019-11-13 07:00:23illuminasingle-end60
4e792d27b837f0b63d5e1ccc1e0153a6H_sapiens2019-11-08 20:02:28illuminasingle-end50
ccd1e1706c75a075b8912d73f5f71597H_sapiens2019-11-08 11:12:16illuminasingle-end30

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