Difference between revisions of "MetaSim"

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{{Bioinformatics application
 
{{Bioinformatics application
|sw summary=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.
+
|sw summary=The software can be used to generate collections of synthetic reads.
The resulting data sets can be used as standardized test scenarios for planning sequencing projects or for benchmarking assembler and metagenomic software.
 
 
|bio domain=Metagenomics, Genomics
 
|bio domain=Metagenomics, Genomics
 
|bio method=Simulation, Assembly, Mapping
 
|bio method=Simulation, Assembly, Mapping
 +
|bio tech=454, Illumina, Sanger,
 
|language=Java
 
|language=Java
|licence=Free for academic use,  
+
|licence=Free for academic use,
 
}}
 
}}
 +
The 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.
  
 +
The resulting data sets can be used as standardized test scenarios for planning sequencing projects or for benchmarking assembler and metagenomic software.
 
{{Links}}
 
{{Links}}
 
{{References}}
 
{{References}}
 
{{Link box}}
 
{{Link box}}

Revision as of 09:39, 7 September 2011

Application data

Biological application domain(s) Metagenomics, Genomics
Principal bioinformatics method(s) Simulation, Assembly, Mapping
Technology 454, Illumina, Sanger
Maintained? Maybe
Programming language(s) Java
Licence Free for academic use

Summary: The software can be used to generate collections of synthetic reads.

"Error: no local variable "counter" was set." is not a number.

The 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.

The resulting data sets can be used as standardized test scenarios for planning sequencing projects or for benchmarking assembler and metagenomic software.

Links


References

  1. . 2008. PLoS One


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