CoCo: Count Corrector for nested genes and multi-mapped reads. –

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CoCo: Count Corrector for embedded and multi-mapped genes.

CoCo is a pipeline designed to improve the evaluated abundance of embedded and multi-mapped genes from RNA-seq alignment data. CoCo is divided in two main parts which can be used together or seperately, depending on the user's preference. The first part is a correction of the gene annotation used by read assignment softwares such as featureCounts or HTSeq in order to correct the evaluated read counts for embedded genes such as snoRNA, that overlap features of their host gene's transcripts such as retained introns and exons. The second part of the correction distributes multi mapped reads in relation to the evaluated read counts obtained from single mapped reads.

We've shown that the combination of these two corrections gives the best correlation of the evaluated gene abundance from RNAseq data with abundance evaluated from other methods such as qPCR.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.


Here are the tools that must be installed for CoCo to work:

CoCo scripts are mostly python3, so be sure you have python3 installed and working. (tested for python 3.5) CoCo also uses some python3 packages:


Installing CoCo is done in a few easy steps.

First, you must clone the git repository to your favorite directory.

cd /path/to/clone/
git clone

Next, you have to add the /bin/ path of the coco repository to your PATH environment variable. this is easily done by opening your .bashrc file in your $HOME repository and add this line at the bottom:

export PATH=/path/to/clone/coco/bin:$PATH

And then you're pretty much done! You should have access to the coco command from your terminal.

coco --help
>>  CoCo: Count Corrector for embedded and multi-mapped genes.
    Version: 0.2.1
    Usage: CoCo <Run mode> <Run mode specific arguments>

    Run modes:
        correct_annotation, CA, ca: Produce modified annotation for embedded genes.
        correct_count, CC, cb:      Produce gene expression values, taking multi-mapped reads into account.
        correct_bedgraph, CB, cb:   Produce paired-end bedgraphs.

    -h, --help      show this help message and exit
    -v, --version   show CoCo version

    For more info, please refer to the README file.


Once the repository is downloaded and its /bin/ path is added to your PATH environment variable, CoCo can be called directly from your terminal. CoCo is divided into two main run modes: correct_annotation and correct_count, and one accessory mode: correct_bedgraph, each with their own parameters, and can be used as such:

coco [run mode] [args]

You can also run it directly from the bin:

cd path/to/coco/bin/
./coco [run mode] [args]

Here is how a user (you) can use the three CoCo modules to get to the desired output (whether it be the corrected gene expression values, the corrected paired-end bedgraph or both)

For detailed information about the usage of every run modes, please refer to the


  • Gabrielle Deschamps-Francoeur - Making of the multi-mapped read correction and collaborated on the correction for ambiguous reads.
  • Vincent Boivin - Making of the annotation correction for ambiguous reads. - boiv2803
  • Michelle Scott - Mastermind of the project and awesome PI - scottgroup


CoCo: Count Corrector for embedded and multi-mapped genes. Copyright (C) 2017 Gabrielle Deschamps-Francoeur, Vincent Boivin & Michelle Scott

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

For more information about the GNU General Public License, see

How to cite us

Scientific results produced using CoCo shall acknowledge its use. Please cite as



  • Hat tip to Fabien Dupuis-Sandoval for starting this project from scratch.
  • Many thanks to Jean-Michel Garrant for his general wisdom.
  • Thanks to Kamil Slowikowski slowkow for its script that is used by correct_annotation.



featureCounts Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923-30.

bedTools: Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26(6):841-2.

samtools Li H, Handsaker B, Wysoker A, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078-9.