Difference between revisions of "MEGAN"

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|sw summary=Metagenome Analysis Software - MEGAN (“MEtaGenome ANalyzer”) is a new computer program that allows laptop analysis of large metagenomic datasets. In a preprocessing step, the set of DNA reads (or contigs) is compared against databases of known sequences using BLAST or another comparison tool. MEGAN can then be used to compute and interactively explore the taxonomical content of the dataset, employing the NCBI taxonomy to summarize and order the results.
 
|sw summary=Metagenome Analysis Software - MEGAN (“MEtaGenome ANalyzer”) is a new computer program that allows laptop analysis of large metagenomic datasets. In a preprocessing step, the set of DNA reads (or contigs) is compared against databases of known sequences using BLAST or another comparison tool. MEGAN can then be used to compute and interactively explore the taxonomical content of the dataset, employing the NCBI taxonomy to summarize and order the results.
 
|bio domain=Metagenomics,
 
|bio domain=Metagenomics,
|input format=Blast output, SAM,  
+
|input format=Blast output, SAM,
 
|sw feature=metagenomic analysis, functional classification
 
|sw feature=metagenomic analysis, functional classification
|licence=Free for academic use
+
|licence=Commercial, Freeware
 
}}
 
}}
  

Latest revision as of 16:08, 16 May 2013

Application data

Biological application domain(s) Metagenomics
Maintained? Maybe
Input format(s) Blast output, SAM
Software features metagenomic analysis, functional classification
Licence Commercial, Freeware

Summary: Metagenome Analysis Software - MEGAN (âMEtaGenome ANalyzerâ) is a new computer program that allows laptop analysis of large metagenomic datasets. In a preprocessing step, the set of DNA reads (or contigs) is compared against databases of known sequences using BLAST or another comparison tool. MEGAN can then be used to compute and interactively explore the taxonomical content of the dataset, employing the NCBI taxonomy to summarize and order the results.

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Links


References

  1. . 2007. Genome Research


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