Fast personalized benchmarks and optimization for NGS read mapping.

Start a mapper benchmark now View Example Report Wiki and Download


...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
95596bfdc3677cc7fd23c7b30efb4ecaH_sapiens2019-06-12 15:27:53illuminasingle-end60
b9f793717784dc57009f93fcfcc8c08eH_sapiens2019-06-06 20:49:57illuminapaired-end200
9c6a9af17371b6683621df38f1bfd2a5H_sapiens2019-05-29 10:53:30illuminapaired-end101
4592042e40ceacc6df2763c9c8d99cd4Arabidopsis_thaliana2019-05-23 16:36:00ion_torrentsingle-end100
3644555b8973445e6c53356fafa87c39H_sapiens2019-05-21 20:42:21illuminasingle-end22
beacdba92d5c6aa6b2ad500d0239ff79H_sapiens2019-05-20 19:56:17illuminasingle-end60
cced32e8c897c6d474d6dac862764ab8H_sapiens2019-05-17 10:11:19illuminapaired-end100
4c0cad3bc7368bf13a1550b1b43f6ca6H_sapiens2019-05-15 12:42:54illuminapaired-end150
17701db190f94b2276ab905979106646D_melanogaster2019-05-14 12:00:37illuminasingle-end60
2ccfcd4de6aba9b69892233ce8d018b1D_melanogaster2019-05-13 16:26:46illuminapaired-end150

Copyright © 2019, CIBIV.