MEGAN

megan
Developer(s) Daniel Huson et al.
Stable release 4.40 / 2011
Operating system Windows, Linux, Mac OS X
Type Bioinformatics
License free use, but not open source
Website http://www-ab.informatik.uni-tuebingen.de/software/megan

MEGAN ("MEtaGenome ANalyzer") is a computer program that allows optimized analysis of large metagenomic datasets.[1] [2]

Metagenomics is the analysis of the DNA and RNA sequences from a usually uncultured environmental sample. A large term goal of most metagenomics is to inventory and measure the extent and the role of microbial biodiversity in the ecosystem due to discoveries that the diversity of microbial organisms and viral agents in the environment is far greater than previously estimated.[3] Tools that allow the investigation of very large data sets from environmental samples using shotgun sequencing techniques in particular, such as MEGAN, are designed to sample and investigate the unknown biodiversity of environmental samples where more precise techniques with smaller, better known samples, cannot be used.

Fragments of DNA from an environmental sample, such as ocean waters or soil, are compared against databases of known DNA sequences using BLAST or another algorithmic bioinformatics tool to assemble the segments into discrete comparable sequences. MEGAN is then used to compare the resulting sequences with gene sequences from GenBank in NCBI.[4] The program was designed to investigate the DNA of a mammoth recovered from the Siberian permafrost.[5]

References

  1. ^ Huson, H.; A. Auch, Ji Qi, and S. C. Schuster (2007). "MEGAN Analysis of Metagenomic Data". Genome Research (Woodbury, New York: Cold Spring Harbor Laboratory Press) 17 (3): 377–386. doi:10.1101/gr.5969107. PMC 1800929. PMID 17255551. http://www.genome.org/cgi/reprint/gr.5969107v1. Retrieved 2008-04-03. 
  2. ^ Huson, Daniel H; S. Mitra, N. Weber, H. Ruscheweyh and Stephan C. Schuster. "Integrative analysis of environmental sequences using MEGAN4". Genome Research 21: 1552-1560. http://genome.cshlp.org/content/21/9/1552.full. 
  3. ^ Nee, S. (2004). "More than meets the eye". Nature 429 (6994): 804–805. doi:10.1038/429804a. PMID 15215837. 
  4. ^ Frias-Lopez, Jorge; Yanmei Shi, Gene W. Tyson, Maureen L. Coleman, Stephan C. Schuster, Sallie W. Chisholm,band Edward F. DeLong (2008-03-11). "Microbial community gene expression in ocean surface waters". PNAS (United States of America: National Academy of Sciences) 105 (10): 3805–3810. doi:10.1073/pnas.0708897105. PMC 2268829. PMID 18316740. http://www.pnas.org/cgi/reprint/0708897105v1.pdf. Retrieved 2008-04-03. 
  5. ^ Poinar, Hendrik N.; Carsten Schwarz, Ji Qi, Beth Shapiro, Ross D. E. MacPhee, Bernard Buigues, Alexei Tikhonov, Daniel Huson, Lynn P. Tomsho, Alexander Auch, Markus Rampp, Webb Miller, Stephan C. Schuster (2007). "Metagenomics to Paleogenomics: Large-Scale Sequencing of Mammoth DNA". Science (United States of America: American Association for the Advancement of Science) 331 (6016): 392–394. doi:10.1126/science.331.6016.392. PMID 21273464. http://www.sciencemag.org/cgi/content/abstract/1123360v1?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=wooly+mammoth&searchid=1135358119618_7589&FIRSTINDEX=0&journalcode=scipaper. Retrieved 2008-04-03.