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
e672841ab6ca9bc2e49db24e84aa9d3cD_melanogaster2018-06-13 22:33:10illuminapaired-end100
b697a20cd7d93b312e1d87898c71241dSchizosaccharomyces_pombe2018-06-08 14:30:19illuminapaired-end75
5e1e8499be39537c650d1065f3f8668fD_melanogaster2018-06-06 19:47:14illuminasingle-end100
c1179f6207c82b822a7c33dbed180ea8H_sapiens2018-06-05 06:29:46illuminapaired-end150
31a70566d0419fb98967436d48601eddH_sapiens2018-06-03 23:24:59illuminasingle-end60
15849f4ceffe90517ef2f330d72188b5D_melanogaster2018-06-03 23:18:45illuminasingle-end60
62f89d3081288aee67c6110858a7a0afH_sapiens2018-06-03 23:11:31illuminasingle-end60
81b6885a0bd2ff4a0cbd091628ab7e96H_sapiens2018-05-31 15:14:10illuminapaired-end30
0d29c58acc5cfc243e0371c1fe6bb462H_sapiens2018-05-22 19:48:22illuminapaired-end50
5a4951b7ed9d4dc4d0f447edb2047a44M_musculus_cutf2018-05-13 21:41:46illuminapaired-end60

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