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
467175fe9c42b940c6c07a42df702d4fD_melanogaster2020-02-15 21:19:16illuminasingle-end60
1af811ca32dc853b960f8b6d4cbbc665Bos_taurus2020-02-15 08:06:38illuminapaired-end60
d33875a66b918166009448518c92dd81D_melanogaster2020-02-11 18:41:31illuminasingle-end30
6ebb017aafabca216e14c5d424cac2e6Arabidopsis_thaliana2020-02-10 09:58:43illuminapaired-end150
2427a11436609584bae112c3f613ce1eD_melanogaster2020-02-04 23:31:53illuminapaired-end37
8584b20257bfe5fa8d0a9d8304e85ecaH_sapiens2020-02-04 21:44:19illuminapaired-end36
df810656b21dc892ac5f933ef1f5b19bD_melanogaster2020-01-15 18:23:17illuminasingle-end45
78609ef9f22b06d602df8453ec9217f9H_sapiens2020-01-09 17:28:24illuminapaired-end150
a60689cd037d3da30b264d23a46605f2M_musculus2020-01-03 04:39:45illuminapaired-end60
4dd4e8c983b9073cfee0df91e2525505H_sapiens2020-01-03 00:50:38illuminapaired-end150

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