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
9b03aa04294fda57de8e8cacb21a2133D_melanogaster2020-06-02 13:19:30illuminapaired-end50
6640fc299f5cf86af15a75b34b4dc459D_melanogaster2020-05-28 17:44:23illuminasingle-end50
3b1274588300bf10898aac7a5209a25dD_melanogaster2020-05-28 14:03:11illuminapaired-end300
29db6fc21f992561663225947d483919H_sapiens2020-05-28 13:14:34illuminapaired-end50
d7ed65cbe47f64d4b5a45325096747baH_sapiens2020-05-28 13:10:42illuminapaired-end50
9dfb88f7c79daf2eb79c7ab7f7adb6d5D_melanogaster2020-05-28 13:03:14illuminasingle-end60
8e916fa645a58b118c4bf9c8ef44c56cD_melanogaster2020-05-04 22:25:00illuminasingle-end50
4d33ce4a6c541980e42048d3edaa4543H_sapiens2020-05-04 20:11:39illuminapaired-end150
7d6919f0995797a11c5d1216507f6313D_melanogaster2020-04-27 09:16:04illuminasingle-end60
0a35e51c8c6345c93c722b68bb425b8cH_sapiens2020-04-22 21:41:06illuminapaired-end100

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