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CNIDARIA: fast, reference-free phylogenomic clustering

https://travis-ci.org/sauloal/cnidaria)

Manual & Wiki: https://github.com/sauloal/cnidaria/wiki

Cnidaria does not need to be compiled but if you really want to, please refer to INSTALL.md.

Motivation: Identification of biological specimens is a major requirement
for a range of applications. Reference-free methods analyse unprocessed
sequencing data without relying on prior knowledge, but these do not scale
to arbitrarily large genomes and arbitrarily large phylogenetic distances.

Results: We present Cnidaria, a practical tool for clustering genomic and
transcriptomic data with no limitation on ge-nome size or phylogenetic
distances. We successfully simultaneously clustered 169 genomic and
transcriptomic datasets from 4 kingdoms, achieving 100% accuracy at
supra-species level and 78% accuracy for species level.

Availability and Implementation: Cnidaria is written in C++ and Python and
is available at http://www.ab.wur.nl/cnidaria

Contact: sauloal@gmail.com

Manual: https://sauloal.github.io/cnidaria/

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