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
4909fd5b9747e3a0c41edc57df5b85cbE_coli2019-07-17 01:35:47illuminasingle-end60
fa64f4756b9d9bda242818e5f18ee5ecH_sapiens2019-07-15 21:54:06illuminasingle-end34
408fe3c4c2e1e010d8f1ee53e0610431H_sapiens2019-07-15 12:04:12illuminasingle-end50
f92f617c98b84c6fadbe60bb4892f1dfH_sapiens2019-07-11 13:25:54illuminapaired-end60
ba3b4a1501a42d0bae638e366002eaa0E_coli2019-07-10 00:19:39illuminapaired-end300
3c3cc950d17a3c3f8f26c17ea513c2eaD_melanogaster2019-07-04 21:29:27illuminasingle-end60
c30ce62c390c161e89af71eec62275f9Saccharomyces_cerevisiae2019-07-04 14:50:59illuminasingle-end50
85e3642fbd9e8c10947c6b5dd3162e56M_musculus2019-07-01 12:29:36illuminapaired-end120
e043d95ac2b7e2c71addacac3ff202aeH_sapiens2019-06-26 20:58:43illuminapaired-end75
b10407d6c25f9f66dd655e0eabbf3e78H_sapiens2019-06-26 18:20:57illuminapaired-end75

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