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
2e78eb71aac04af5ed92689adbc2fd91E_coli2018-01-17 17:59:00illuminasingle-end100
402559af63775d6c421259ae1e0a2093Danio_rerio2018-01-11 21:26:55illuminapaired-end60
246b66d01987c0bd9e21620bfd5f9b81H_sapiens2018-01-09 22:40:29illuminasingle-end75
1727183f285a13e87a515aa28a9ac20eM_musculus2017-12-26 21:15:34illuminasingle-end60
8092a70337296e8238b8e2f3999b75e8D_melanogaster2017-12-21 22:00:33illuminapaired-end100
683799e90c8e302de08d9f381a41ede9D_melanogaster2017-12-21 20:18:34illuminapaired-end150
b4c6bc4159b9ebf4169789ca82e782a9M_musculus2017-12-18 23:58:26illuminapaired-end51
2f0c57c71491a10902c3dff32a47df66Danio_rerio2017-12-15 12:51:53illuminasingle-end60
7908c700e87b8b769ab66d0c5034069cH_sapiens2017-12-15 12:27:01illuminapaired-end36
d0cce0bece5956c9a3769676078db107Arabidopsis_thaliana2017-12-07 10:00:52illuminapaired-end125

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