Personal tools
You are here: Home Publikationen MetaSim—A Sequencing Simulator for Genomics and Metagenomics
Document Actions

Daniel C Richter, Felix Ott, Alexander F Auch, Ramona Schmid, and Daniel H Huson (2008)

MetaSim—A Sequencing Simulator for Genomics and Metagenomics

PLoS ONE, 3(10):e3373.

Background: The new research field of metagenomics is providing exciting insights into various, previously unclassified ecological systems. Next-generation sequencing technologies are producing a rapid increase of environmental data in public databases. There is great need for specialized software solutions and statistical methods for dealing with complex metagenome data sets.

Methodology/Principal Findings: To facilitate the development and improvement of metagenomic tools and the planning of metagenomic projects, we introduce a sequencing simulator called MetaSim. Our software can be used to generate collections of synthetic reads that reflect the diverse taxonomical composition of typical metagenome data sets. Based on a database of given genomes, the program allows the user to design a metagenome by specifying the number of genomes present at different levels of the NCBI taxonomy, and then to collect reads from the metagenome using a simulation of a number of different sequencing technologies. A population sampler optionally produces evolved sequences based on source genomes and a given evolutionary tree.

Conclusions/Significance: MetaSim allows the user to simulate individual read datasets that can be used as standardized test scenarios for planning sequencing projects or for benchmarking metagenomic software.

Powered by Plone CMS, the Open Source Content Management System