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#Metagenome binning using MetaBAT Authored by Fan Yang EDAMAME-2016 wiki

EDAMAME tutorials have a CC-BY license. Share, adapt, and attribute please!

##Overarching Goal

  • This tutorial will contribute towards an understanding of microbial metagenome analysis

##Learning Objectives

  • Understand metagenomic binning and perform a binning exercise

##Tutorial We will be running a specific tool for metagenomic binning called MetaBAT. You can read about this tool and its applications in the original paper, [MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities] (

Let's start by getting our computer!

  1. Initiate an Amazon EC2 instance if you don't have one launched already
    a. ubuntu
    b. m3.large

Now, let's download our software.

  1. Where to get MetaBAT?
    A: MetaBAT is deposited in BitBucket (remote repository like GitHub)

    cd ~
    sudo apt-get install git    ## EC2 does not have git installed by default
    git clone metabat_clone
    git clone
  2. How to install MetaBAT? Do I have all softwares I need to run MetaBAT?

    cd metabat_clone

    Don't forget to push "q" key to exist the "less" window.

  3. Install MetaBAT

    cd ~
    bash ~/metagenome_binning/

This tutorial takes place assuming you have an assembled metagenome and its mapped read abundances.

  1. So you learned about how to assemble sequences yesterday and assembled some contigs, for today's tutorial, we need a full assembled file. Let's also get some assembled and mapped data.
    cd ~
    mkdir data && cd ~/data

Q: Can you think of a reason why we couldn't use the partial assembled contigs from the metagenome assembly exercise?

  1. Now let's do some binning!

    cd ~/data
    for i in *.sorted.bam 
    	mkdir ~/data/$i.bins 
                cd ~/data/$i.bins
                ~/metabat/bin/ ~/data/final.contigs.fa ~/data/$i
  2. What if we want to bin the contigs with different threshold?

    cd ~/data/SRR492065.sam.bam.sorted.bam.bins
    #First, try sensitive mode to better sensitivity
    ~/metabat/bin/metabat -i ~/data/final.contigs.fa -a final.contigs.fa.depth.txt -o bin1 --sensitive -l -v --saveTNF saved.tnf --saveDistance saved.gprob
    #Try specific mode to improve specificity further; this time the binning will be much faster since it reuses saved calculations
    ~/metabat/bin/metabat -i ~/data/final.contigs.fa -a final.contigs.fa.depth.txt -o bin2 --specific -l -v --saveTNF saved.tnf --saveDistance saved.gprob
    #Try specific mode with paired data to improve sensitivity while minimizing the loss of specificity
    ~/metabat/bin/metabat -i ~/data/final.contigs.fa -p final.contigs.fa.paired.txt -o bin3 --specific -l -v --saveTNF saved.tnf --saveDistance saved.gprob