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PluMA

A lightweight and flexible analysis pipeline


Documentation

The PluMA userguide is available at: http://biorg.cis.fiu.edu/pluma/userguide.pdf

Citation Information

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.

Support

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.

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A lightweight and flexible analysis pipeline

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  • C++ 90.0%
  • Python 8.0%
  • R 1.7%
  • Other 0.3%