Skip to content
Branch: master
Go to file
This branch is 336 commits ahead of rlim19:master.

Latest commit


Failed to load latest commit information.
Latest commit message
Commit time

Zerone: a ChIP-seq discretizer with quality control

Build Status

About Zerone

Zerone discretizes several ChIP-seq replicates simultaneously and resolves conflicts between them. After the job is done, Zerone checks the results and tells you whether it passes the quality control.

If you use this software, please cite our paper, where you can find all the information on the algorithm in our publication:

P. Cuscó, G. J. Filion, "Zerone: a ChIP-seq discretizer for multiple replicates with built-in quality control", Bioinformatics (2016) 32 (19): 2896-2902. doi: 10.1093/bioinformatics/btw336

Building instructions

Zerone is available as a Linux command line application and as an R package.


We recommend that you use git to keep Zerone updated. You can clone the repository from Github with the following command on a standard terminal.

git clone

If you prefer using SSH cloning, you can use

git clone

Note that this requires that you already have a Github account and that the computer you are working on has an SSH key registered on GitHub. If this is not the case, follow the instructions from

Alternatively, if you prefer not to use git, you can download the source code from with the following commands.

mv zerone-master zerone

This should create a directory named zerone.


To build Zerone, execute the following from the zerone directory.

cd zerone

This should succeed on most Linux systems because make is available by default. If this is not the case, you can obtain it by typing sudo apt-get install make on the Ubuntu terminal. Calling make should create an executable called zerone.

Installing the Zerone R package

To install the Zerone R package, simply run this command from the zerone directory.

R CMD INSTALL ZeroneRPackage

Note that you need to have R installed on your computer. If this is not the case, run the command sudo apt-get install r-base on Ubuntu. If applicable, you may also append sudo before the command to install the package system-wide.

Zerone basics

Running Zerone

To run Zerone, you have to specify the files that contain the mapped reads of the ChIP-seq experiment you want to discretize. These can be in BED, WIG, SAM/BAM and GEM (.map) formats and can be gzipped. You can include as many mock control files and as many experimental replicates as you need, provided there is at least one mock control and one experimental replicate. Just enter mock controls after the -0 or --mock option, and targets after the -1 or --chip option.

For example, you can type in the following commands from the zerone directory.

./zerone --mock data/mock.sam --chip data/ctcf1.sam,data/ctcf2.sam

Note that path expansion will not work when using comma separated file names, so if you want to use path names starting with $\sim$, you can simply specify the mock and chip options as many times as needed, as shown below.

./zerone -0 data/mock.sam -1 data/ctcf1.sam -1 data/ctcf2.sam

Enter the option -h or --help for usage instructions and --version to print the version number.

Window output

Running any of the examples above should produce an output like the following.

# QC score: 1.723
# features: 0.482, 10.000, 0.017, 0.407, 0.857
# advice: accept discretization.
chr1    1       300     0   0   0   0    0.30024
chr1    301     600     0   0   0   0    0.15942
chr1    601     900     0   0   0   0    0.09334
chr1    901     1200    0   0   0   0    0.06227
chr1    998701  999000  1   1   11  4    0.97852
chr1    999001  999300  1   2   72  34   1.00000
chr1    999301  999600  1   2   128 69   1.00000
chr1    999601  999900  1   0   10  5    0.99784

The first three lines contain the result of the quality control. It consists of a quality score followed by the numeric values of 5 features, and an advice to either accept or reject the discretization. The recommendation is to accept if the score is positive and reject if it is negative. If the score is higher than 1 (or lower than -1), the advice is considered extremely reliable.

The five numeric values of the features are not important per se. They are used to compute the quality score. If only one replicate is available, the last value and the QC score will be -nan, meaning that the quality control cannot be performed.

The rest of the lines contain the discretization proper. The first three columns specify the chromosome, start and end positions of each window.

The fourth column represents the enrichment. Zerone classifies each window into one of two possible states. State 0 represents background signal and state 1 represents an enriched window.

The fifth column contains the read counts of all the control profiles summed together per window. The following columns show the number of reads per window in the ChIP-seq files, in the order they were provided. The final column is the estimated probability that the window is a target (it is a confidence score for the call).

List output

With the -l or --list-output option, Zerone produces an alternative output in which only the targets are shown after merging consecutive windows. For instance, when running the following command

./zerone -l -0 data/mock.sam -1 data/ctcf1.sam,data/ctcf2.sam

you should obtain the output shown below.

# QC score: 1.723
# features: 0.482, 10.000, 0.017, 0.407, 0.857
# advice: accept discretization.
chr1  237601  238200  1.00000
chr1  521401  522000  0.99969
chr1  567301  567900  0.91861
chr1  975901  976500  1.00000
chr1  990001  990600  0.99076
chr1  994201  995400  1.00000
chr1  998701  999900  1.00000

The first three columns are the same as in window output i.e. chromosome or sequence name, start and end. The last column is the confidence score of the called target. It is the highest confidence of the windows merged in the same target region.

BED and WIG formats

Zerone accepts files in BED and WIG formats, but they must be used with caution. Always make sure that the scores represent the number of reads in each window, and use a window size equal to that used by Zerone (it defaults to 300, and can be set with the option -w). This also means that all windows must have the same size.

The Zerone R package

Once you have installed the Zerone R package, you can load it in your R session with the command


The package contains a single function called zerone(). You can display the help page with the command ?zerone. The object ZeroneExampleData is an example of data.frame properly formatted for zerone(). The command below runs zerone() on this data and returns the Viterbi path (inferred sequence of states).

path <- zerone(ZeroneExampleData)

If you want to return the parameters fitted by zerone(), you can do it as shown below.

listinfo <- zerone(ZeroneExampleData, returnall=TRUE)

The list object listinfo then contains all the associated parameters and extra information.


In case Zerone crashes, recompile it in debug mode. To do so, run the following commands from the zerone directory.

make clean
make debug

Then repeat the call that triggered the crash and contact attaching the debug information.

If you are using Linux, you can also run the unit tests to check that the code behaves as expected on your machine. For this, run the following commands in the Zerone directory.

make test -C src/unittest

If everything works well, you should see the following output

*      Zerone unit tests       *
hmm/fwdb                      OK
hmm/fwdb (NAs)                OK
hmm/fwdb (underflow)          OK
hmm/block_fwdb                OK
hmm/block_fwdb (NAs)          OK
zerone/zinm_prob              OK
zerone/bw_zinm                OK
zerone/update_trans           OK
zerone/eval_bw_f              OK

The tests will not run on every machine (in particular they will not run on Mac), but this does not mean that something is broken. If Zerone unit tests in the header does not appear, it means that the tests cannot be compiled on your machine, but this does not say anything about Zerone. If one of the tests fails, OK will be replaced by FAIL and the test harness will give some more information about what went wrong. You can contact attaching the test results so that we can help you troubleshoot.

You can also share your issues directly on the Github repository at Be sure to give enough information so that we can reproduce the issue.

Finally, we provide a Docker image with a running implementation of Zerone. This can serve as an environment to run Zerone if it is not available on your machine, or as an example to see how to configure your own machine. The Docker image is available at


ChIP-seq discretization and quality control




No releases published
You can’t perform that action at this time.