Nucleus is a library of Python and C++ code designed to make it easy to read, write and analyze data in common genomics file formats like SAM and VCF. In addition, Nucleus enables painless integration with the TensorFlow machine learning framework, as anywhere a genomics file is consumed or produced, a TensorFlow tfrecords file may be substituted.
Which of these would most increase your usage of Nucleus?
For Ubuntu 14, Ubuntu 16 and Debian 9 systems, installation is easy: just run
source install.shFor all other systems, you will need to first install CLIF by following the instructions at https://github.com/google/clif#installation before running install.sh.
Note that install.sh extensively depends on apt-get, so it is unlikely to run without extensive modifications on non-Debian-based systems.
Finally, Nucleus depends on TensorFlow and by default, install.sh will
install a CPU-only version of a stable TensorFlow release (currently 1.7).
If that isn't what you want, there are several other installation options that
can be enabled with a simple edit to install.sh.
Running install.sh will build all of Nucleus's programs and libraries.
You can find the generated binaries under bazel-bin/nucleus. If in
addition to installing Nucleus you would like to run its tests, execute
bazel test -c opt $COPT_FLAGS nucleus/...Interested in contributing? See CONTRIBUTING.
The Genomics team in Google Brain actively supports Nucleus and are always interested in improving its quality. If you run into an issue, please report the problem on our Issue tracker. Be sure to add enough detail to your report that we can reproduce the problem and fix it. We encourage including links to snippets of BAM/VCF/etc files that provoke the bug, if possible. Depending on the severity of the issue we may patch Nucleus immediately with the fix or roll it into the next release.
This is Nucleus 0.1.0. Nucleus follows semantic versioning.
Nucleus is licensed under the terms of the Apache 2 license.
Nucleus grew out of the DeepVariant project.
This is not an official Google product.