A lightweight and flexible analysis pipeline
The PluMA userguide is available at: http://biorg.cis.fiu.edu/pluma/userguide.pdf
All professional work making use of PluMA or its features should cite:
T. Cickovski, V. Aguiar-Pulido, W. Huang, S. Mahmoud, and G. Narasimhan. Lightweight Microbiome Analysis Pipelines. In Proceedings of International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO16), Granada, Spain, April 2016.
This work was partially supported by grants from the Department of Defense Contract W911NF-16-1-0494, NIH grant 1R15AI128714-01, and NIJ grant 2017-NE-BX-0001.
Additional support provided by the Florida Department of Health (FDOH 09KW-10), the Alpha-One Foundation, NVIDIA, The College of Engineering and Computer Science at Florida International University and the Natural Sciences Collegium at Eckerd College.
PluMA can execute plugins implemented in C/C++, Python, Perl, R, and Java.
Java support requires a JDK with JNI headers and libjvm; the build scans JAVA_HOME
or the location of javac to configure the JNI include path and library.