Anduril is a workflow platform for analyzing large data sets.
Anduril provides facilities for analyzing high-thoughput data in biomedical research, and the platform is fully extensible by third parties. Ready-made tools support data visualization, DNA/RNA/ChIP-sequencing, DNA/RNA microarrays, cytometry and image analysis.
Workflows are constructed using Scala 2.11 and executed in parallel using a workflow engine optimized for iterative development. External libraries (e.g., R, Python) and command-line tools can be integrated into workflows. Anduril can be deployed locally or in a Linux cluster.
Anduril development began in 2007 and the platform has been used for analyzing several large molecular biology data sets.
Getting started
- Install using Docker or natively on Linux
- Read User Guide
- Create and execute a workflow
License
Anduril is developed by Systems Biology Laboratory, University of Helsinki, Finland. Anduril 2 (current version) is available under the BSD 2-clause license. Anduril 1 (legacy version) is available under the GNU General Public License v2 (GPL 2).
Citing
Please cite this publication when you use Anduril 2.x.
- Cervera, A., Rantanen, V., Ovaska, K., Laakso, M., Nuñez-Fontarnau, J., Alkodsi, A., … Hautaniemi, S. Anduril 2: Upgraded large-scale data integration framework Bioinformatics 2019, 35(19), 3815-3817
Please cite this publication when you use Anduril 1.x.
- Kristian Ovaska, Marko Laakso et al. Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme. Genome Medicine 2010, 2(9):65.