MEGAN is a MEtaGenome ANalyzer. It can read Blast output. Normally this program would be run on your own desktop, but MEGAN is a memory hog, and some desktop systems may not have enough memory to handle a large dataset.

MEGAN was developed by D. H. Huson et al at U. Tübingen.

MEGAN6 is a comprehensive toolbox for interactively analyzing microbiome data. All the interactive tools you need in one application.

• Taxonomic analysis using the NCBI taxonomy or a customized taxonomy such as SILVA
• Functional analysis using InterPro2GO, SEED, eggNOG or KEGG
• Bar charts, word clouds, Voronoi tree maps and many other charts
• PCoA, clustering and networks
• Supports metadata
• MEGAN parses many different types of input

References:

• Daniel H. Huson, Sina Beier, Isabell Flade, Anna Gorska, Mohamed El-Hadidi, Suparna Mitra, Hans-Joachim Ruscheweyh and Rewati Tappu. MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data. PLOS Computational Biology 12(6): e1004957.

• MEGAN Manual (PDF) at the U. Tübingen site
• MEGAN Github

This application requires a graphical connection using NX

• Module Name: MEGAN (see the modules page for more information)
• Based on author suggestions, the maximum memory that MEGAN can use is 32GB. Keep this in mind when allocating memory for you sinteractive session.

[user@biowulf ~]$ sinteractive --mem=10g
salloc.exe: Granted job allocation 143361

[user@cn0124 ~]$ module load MEGAN

[user@cn0124 ~]$ MEGAN






[user@cn0124 ~]$ exit
exit
srun: error: cn0124: task 0: Exited with exit code 130
salloc.exe: Relinquishing job allocation 143361
[user@biowulf ~]$