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
f603b990bd867754ec043961e85fbe4eH_sapiens2019-04-23 11:24:01illuminasingle-end27
c25a667b91bbaddaec0c781da7f50b0fD_melanogaster2019-04-22 20:34:03illuminasingle-end54
0283f4c7fce736044f31766eeaf58218D_melanogaster2019-04-13 14:47:32illuminapaired-end60
dd32e443ee42f3be9b1f898faba114a0Saccharomyces_cerevisiae2019-04-13 06:18:28illuminapaired-end151
01b0f9be178f06d79310d067f2666ab2D_melanogaster2019-03-26 14:44:55illuminasingle-end60
ff0f074ba5e51e9970e7acdd52b80353Gallus_gallus2019-03-26 07:49:22illuminasingle-end60
6105d3428e40639e1ed1e080d0116484H_sapiens2019-03-22 20:15:42illuminapaired-end90
d73698812b67d48f9a82cf146d5409c6H_sapiens2019-03-22 13:48:49illuminasingle-end60
561641172bf684a3a5d40c56f80a2d8aM_musculus2019-03-20 22:45:03illuminasingle-end150
fd0ff6f1aeb1aff5de26f9fbb765ea55M_musculus2019-03-14 08:34:31illuminasingle-end60

Copyright © 2019, CIBIV.