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Project description

“I love writing BLAST parsers!” – no one, ever

dammit is a simple de novo transcriptome annotator. It was born out of the observation that: annotation is mundane and annoying; all the individual pieces of the process exist already; and, the existing solutions are overly complicated or rely on crappy non-free software.

Science shouldn’t suck for the sake of sucking, so dammit attempts to make this sucky part of the process suck a little less.


Complete instructions with explanations and more platform options are in the documentation website. For the impatient, here’s a stripped down version. These instructions assume you’re on a clean Ubuntu 14.04 install. dammit will run on OSX too, though some of the dependencies will need to be installed manually and are not included here.

First get packages from the Ubuntu PPAs:

sudo apt-get update
sudo apt-get install python-pip python-dev python-numpy git ruby hmmer unzip \
    infernal ncbi-blast+ liburi-escape-xs-perl emboss liburi-perl \
    python-sklearn build-essential libsm6 libxrender1 libfontconfig1
sudo gem install crb-blast

Install some packages manually:

curl -LO
tar -xvzf 2.0.1.tar.gz
cd TransDecoder-2.0.1; make
export PATH=$PATH:$HOME/TransDecoder-2.0.1

curl -LO
cd last-658
export PATH=$PATH:$HOME/last-658/src

curl -LO
tar -xvzf BUSCO_v1.1b1.tar.gz
chmod +x BUSCO_v1.1b1/*.py
export PATH=$PATH:$HOME/BUSCO_v1.1b1

To add these to your environment permanently:

echo 'export PATH=$PATH:$HOME/TransDecoder-2.0.1' >> $HOME/.bashrc
echo 'export PATH=$PATH:$HOME/last-658/src' >> $HOME/.bashrc
echo 'export PATH=$PATH:$HOME/BUSCO_v1.1b1' >> $HOME/.bashrc

Now, install dammit:

sudo pip install -U setuptools
sudo pip install dammit

This will spend a bit of time compiling and installing pandas and scikit-learn if you don’t already have a recent versions installed; the ones available in the Ubuntu 14.04 PPA are just too old.


I’ve received input and advice from a many sources, including but probably not limited to: C Titus Brown, Matt MacManes, Chris Hamm, Michael Crusoe, Russell Neches, Luiz Irber, Lisa Cohen, Sherine Awad, and Tamer Mansour.

CS is funded by the National Human Genome Research Institute of the National Institutes of Health under Award Number R01HG007513 through May 2016, and also receives support from the Gordon and Betty Moore Foundation under Award number GBMF4551.

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