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
84d10c4b1ec6e29645faae763c6fe48eArabidopsis_thaliana2017-09-22 20:12:41illuminapaired-end125
3905aa798cea84391d20e938b7d088d8Arabidopsis_thaliana2017-09-18 06:03:20illuminapaired-end151
624cdb19d6a38be1a4d6ffe78b5d22d4H_sapiens2017-09-15 22:36:18illuminapaired-end150
9616eba5217c671aa1e17d118aefe3c9M_musculus_cutf2017-09-13 10:06:09illuminasingle-end76
47ed064b8a7255de5257058de7620d9cD_melanogaster2017-09-12 16:57:02illuminasingle-end36
49efbf792a671892244ba9297cc6202aH_sapiens2017-09-11 08:20:34illuminasingle-end36
a5e600139d12b867a2e96eee861838f1H_sapiens2017-09-09 16:51:31illuminapaired-end75
dbe9c301671e3f72d169833f77afc52dH_sapiens2017-08-29 19:52:20illuminasingle-end36
85176433619c96b494ede3b93198c48cArabidopsis_thaliana2017-08-25 20:43:49illuminasingle-end100
ef84d4ed82d0fef31ff0765d0f19324dM_musculus_cutf2017-08-19 03:24:25illuminasingle-end100

Copyright © 2017, CIBIV.