master: [![Build Status](https://travis-ci.org/gerstung-lab/deepSNV.svg?branch=master)](https://travis-ci.org/gerstung-lab/deepSNV)
devel: [![Build Status](https://travis-ci.org/gerstung-lab/deepSNV.svg?branch=devel)](https://travis-ci.org/gerstung-lab/deepSNV)
This package provides provides a quantitative variant callers for
detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing
experiments. The deepSNV algorithm is used for a comparative setup with a
control experiment of the same loci and uses a beta-binomial model and a
likelihood ratio test to discriminate sequencing errors and subclonal SNVs.
The new shearwater algorithm (beta) computes a Bayes classifier based on a
beta- binomial model for variant calling with multiple samples for
precisely estimating model parameters such as local error rates and
dispersion and prior knowledge, e.g. from variation data bases such as
This repository contains the current development snapshot of the deepSNV package
in the folder deepSNV. It is not guaranteed to work all times.
### The good way
For unexperienced users it is recommended to use package as provided in bioconductor.
Please follow the instructions at:
### The bad way
You can use devtools::github_install() to install from this repository. For advanced users.
> library(devtools); install_github("gerstung-lab/deepSNV")
### The ugly way
To install this development snapshot of deepSNV, check out the repository and run
$ make install
Note that this will not install the necessary dependencies.
Previous (running) builds can be found in `builds`. These will also be mirrored to the
bioconductor development branch.