BioLite is developed by the Dunn Lab at Brown University.
BioLite can be installed using pip, the Python package manager. If you don't have
pip, you may be able to install it with
sudo easy_install pip
Install BioLite with pip:
sudo pip install biolite
On OS X you must run:
export CFLAGS=-Qunused-arguments export CPPFLAGS=-Qunused-arguments sudo -E pip install biolite
export commands are due to a known bug in Apple's most recent command
line tools (StackOverflow post).
BioLite provides wrappers for many third-party bioinformatics tools. Most of these can be installed using Bioinformatics Brew, a cross-platform package manager for bioinformatics tools.
To install the C++ tools provided with BioLite using BiB, run:
bib install -f biolite-tools/0.4.0
See INSTALL for more detailed instructions, system requirements, and for how to configure BioLite after installing it.
BioLite is a bioinformatics framework written in Python/C++ that automates the collection and reporting of diagnostics, tracks provenance, and provides lightweight tools for building out customized analysis pipelines.
BioLite provides generalized components aimed at developers of NGS analyses workflows. These include:
- a 'catalog' database for pairing metadata with and organizing NGS data files
- a global 'diagnostics' database that establishes provenance for analyses and archives analysis results that can be accessed across multiple stages of a workflow, or from different workflows
- a modular 'pipeline' framework with Python wrappers and workflows for commonly used NGS tools, and logging, profiling, and checkpointing functionality
- a C++ library 'seqio' for efficient I/O of large NGS data files
Please use the issue tracker at Bitbucket to report and problems you have.
We have tested BioLite on Ubuntu 12.04/13.04, and CentOS 6.3, and will provide limited, best-effort support on these platforms.
Updating and Uninstalling
BioLite is under active development. This means that new updates are not always compatiable with analyses that have already been run. We make every effort to avoid changes to the catalog database structure, so there is usually not a need to re-catalog data when you install a new version. However, you may need to rerun already completed analyses if you want to generate new reports or use existing data with new versions of pipelines.
To uninstall, use:
pip uninstall biolite
To upgrade, use:
pip install -U biolite
BioLite is still under development, and is an experimental tool that should be used with care. Please cite:
Howison M, Sinnott-Armstrong NA, Dunn CW. 2012. BioLite, a lightweight bioinformatics framework with automated tracking of diagnostics and provenance. In Proceedings of the 4th USENIX Workshop on the Theory and Practice of Provenance (TaPP '12), 14-15 June 2012, Boston, MA, USA.
BioLite makes use of many other programs that do much of the heavy lifting of the analyses. Please be sure to credit these essential components as well. Check the biolite.cfg file for web links to these programs, where you can find more information on how to cite them.
This software has been developed with support from the following US National Science Foundation grants:
PSCIC Full Proposal: The iPlant Collaborative: A Cyberinfrastructure-Centered Community for a New Plant Biology (Award Number 0735191)
Collaborative Research: Resolving old questions in Mollusc phylogenetics with new EST data and developing general phylogenomic tools (Award Number 0844596)
Infrastructure to Advance Life Sciences in the Ocean State (Award Number 1004057)
The Brown University Center for Computation and Visualization has been instrumental to the development of BioLite.
Copyright (c) 2012-2014 Brown University. All rights reserved.
BioLite is distributed under the GNU General Public License version 3. For more information, see LICENSE or visit: http://www.gnu.org/licenses/gpl.html
BioLite includes source code from the following projects:
- gzstream C++ interface v1.5, which is distributed under the GNU Lesser
General Public License in
- Bootstrap v2.3.1 CSS style, which is distributed under the Apache License
- jsphylosvg v1.55, which is distributed under the GPL in
LICENSE.jsphylosvg, and which includes Raphael 1.4.3, which is distributed under the MIT license
- D3js v3.1.9, which is distributed under the BSD license in