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
561641172bf684a3a5d40c56f80a2d8aM_musculus2019-03-20 22:45:03illuminasingle-end150
fd0ff6f1aeb1aff5de26f9fbb765ea55M_musculus2019-03-14 08:34:31illuminasingle-end60
86d2530fe4fd6a24618ac6aeec6432a9H_sapiens2019-03-13 08:49:15illuminapaired-end150
bcb086f6f59dbcca61dfa4c8f0f2a720Schizosaccharomyces_pombe2019-03-13 08:40:27illuminapaired-end100
b3df70b826c18a9035bda7da417760bdD_melanogaster2019-03-12 18:11:52illuminasingle-end60
f1452401e1993ab2c62b2d717ea4e67dD_melanogaster2019-03-08 11:02:56illuminasingle-end60
7a0d1032b4255da231f8dc50cc8e3c61H_sapiens2019-03-06 17:15:32illuminasingle-end150
1af7e6ce3a4b8d266864e92c6909aeb0H_sapiens2019-02-27 08:41:43illuminasingle-end60
34aebdfa2aa73091787df48b83acb769H_sapiens2019-02-23 22:31:54illuminapaired-end100
12f777549b1c5ab0760f58eb5785d7eeD_melanogaster2019-02-23 04:14:26illuminasingle-end22

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