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
06795bd4e1ac80426dae05e2355b7212Danio_rerio2021-01-17 12:43:25illuminapaired-end60
3c556c15b5f06f3fac2afd802383aaacH_sapiens2021-01-14 19:08:21illuminapaired-end75
3a1ab23c300ddfb12b733a1ec27037d1E_coli2021-01-14 03:56:59illuminasingle-end60
3cd39a6ab8a54fce0dd6556033e1a677E_coli2021-01-13 16:28:23illuminasingle-end75
2803bc1e2c1e3df39a60501a18dd2dd7D_melanogaster2021-01-13 16:16:06illuminasingle-end60
958677ac3cb8b781bca9ae286dbaf99eH_sapiens2021-01-11 12:03:52illuminapaired-end150
1809214971549a09d13cfe8f4de54f6aD_melanogaster2021-01-06 16:23:51illuminasingle-end50
65df0e970ba4da2de5a8f4db445fa4ddH_sapiens2021-01-04 04:25:42illuminapaired-end50
aa18788a59ae181eed7805d1146ccabaH_sapiens2020-12-06 19:01:54illuminapaired-end112
5dbdaf318bad62cc04d5a3e9c5c79145H_sapiens2020-12-05 14:49:31illuminapaired-end121

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