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command lines tool to annotate miRNAs with a standard mirna/isomir naming
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data implement method to wirte gff line Jul 2, 2019
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setup.py

README.md

mirtop

Project Status: Active – The project has reached a stable, usable state and is being actively developed. biorxiv

Command line tool to annotate with a standard naming miRNAs e isomiRs.

This tool adapt the miRNA GFF3 format agreed on here: https://github.com/miRTop/mirGFF3

Chat

Ask question, ideas Contributors to code

Cite

http://mirtop.github.io

Contributing

Everybody is welcome to contribute, fork the devel branch and start working!

If you are interesting in miRNA or small RNA analysis, you can jump into the incubator issue pages to propose/ask or say hi:

https://github.com/miRTop/incubator/issues

About

Join the team: https://orgmanager.miguelpiedrafita.com/join/15463928

Read more: http://mirtop.github.io

Installation

Bioconda

conda install mirtop -c bioconda

PIP

pip install mirtop

develop version

Thes best solution is to install conda to get an independent enviroment.

wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh

bash Miniconda-latest-Linux-x86_64.sh -b -p ~/mirtop_env

export PATH=$PATH:~/mirtop_env

conda install -c bioconda pysam pybedtools pandas biopython samtools

git clone http://github.com/miRTop/mirtop

cd mirtop

python setup.py develop

Quick start

Read complete commands at: https://mirtop.readthedocs.org

git clone mirtop
cd mirtop/data
mirtop gff --sps hsa --hairpin examples/annotate/hairpin.fa --gtf examples/annotate/hsa.gff3 -o test_out sim_isomir.bam

Output

The mirtop gff generates the GFF3 adapted format to capture miRNA variations. The output is explained here.

Contributors

Citizens

Here we cite any person who has contribute somehow to the project different than through code development and/or bioinformatic concepts.

Gianvito Urgese, Jan Oppelt(CEITEC Masaryk University, Brno, Czech Republic), Thomas Desvignes, Bastian, Kieran O'Neill (BC Cancer), Charles Reid (University of California Davis), Radhika Khetani (Harvard Chan School of Public Health), Shannan Ho Sui (Harvard Chan School of Public Health), Simonas Juzenas(CAU), Rafael Alis (Catholic University of Valencia), Aida Arcas (Instituto de Neurociencias (CSIC-UMH)), Yufei Lin (Harvard University), Victor Barrera(Harvard Chan School of Public Health), Marc Halushka (Johns Hopkins University)

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