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
15712acd396491db6d2de114e2324eeeM_musculus2020-07-22 02:56:35illuminasingle-end35
4467949af3a5f26ff89078f349d79b84M_musculus2020-07-21 23:14:55illuminasingle-end35
c5ef860a7f0120e240ac2a81a8987ec7D_melanogaster2020-07-21 14:29:54illuminasingle-end81
485c912b03c400510ac712ed8c6fdaaeD_melanogaster2020-07-13 10:58:03illuminapaired-end60
d2478d3e03b66c8000ad09daac20505aH_sapiens2020-07-08 10:00:06illuminapaired-end150
032c3455e1dc7b0f9479269999e2be3fH_sapiens2020-07-08 09:53:58illuminapaired-end150
0749a0b45a562188e6bc781c6b8276f3H_sapiens2020-07-08 09:52:59illuminapaired-end150
587acb4c1389e13b74c451ac6ff8bb62Xenopus_tropicalis2020-07-03 09:05:43illuminapaired-end50
16083a85808a259bb6fe8a343e1f2c28D_melanogaster2020-06-17 12:53:07illuminapaired-end60
d7f26ba828149d098316fd613780f933H_sapiens2020-06-08 08:13:54illuminapaired-end9000

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