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
0da813bac2155c7f0a5cf5cca24ccc1aH_sapiens2018-04-24 10:33:22illuminapaired-end145
a3434b1de3676950853046095969ce86M_musculus2018-04-24 10:08:34illuminapaired-end145
976fc80a7292f53e50cc1db6e5e37c6bH_sapiens2018-04-24 09:48:08illuminapaired-end145
87940cc9ea52736e1404800ba1cd305bD_melanogaster2018-04-24 09:47:29illuminasingle-end60
af9ee9d9017324a7d2eeb01400ff60b3H_sapiens2018-04-24 09:46:16illuminapaired-end145
652ddcd38e91b9a207decc054f345dbfD_melanogaster2018-04-24 01:07:08illuminapaired-end150
8ef85278b2bc6960130f51a1bb974e19D_melanogaster2018-04-23 16:00:00illuminapaired-end76
d03548eaf6c49691fd1d7e18b86541f2Canis_familiaris2018-04-23 12:28:39illuminapaired-end150
62cd2919fe23dfe84aae9e66d45fbf34H_sapiens2018-04-23 10:06:00illuminasingle-end60
1e2bc56b97a4a92db1622492745021adD_melanogaster2018-03-30 12:14:20illuminapaired-end175

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