For more information about phylo-k-mers, see our papers: one, two, three.
If you want to experiment with phylo-k-mers and write some code, check out our examples to see how to use the code of IPK.
Rapid installation via Bioconda
It is advised to install the package in a new environment, because our C++ dependencies are strict and may clash with other packages requiring, for instance, libboost.
We also recommend to use `mamba, which is more faster in solving environment dependencies.
[3] Linard, Benjamin et al. “Rapid alignment-free phylogenetic identification of metagenomic sequences.” Bioinformatics 35.18 (2019): 3303-3312.
[4] Scholz, Guillaume E., et al. “Rapid screening and detection of inter-type viral recombinants using phylo-k-mers.” Bioinformatics 36.22-23 (2020): 5351-5360.
IPK: Inference of Phylo-K-mers
Please cite:
[1]
IPK is a tool for computing phylo-k-mers for a fixed phylogeny.
Link to documentation
For more information about phylo-k-mers, see our papers: one, two, three.
If you want to experiment with phylo-k-mers and write some code, check out our examples to see how to use the code of IPK.
Rapid installation via Bioconda
It is advised to install the package in a new environment, because our C++ dependencies are strict and may clash with other packages requiring, for instance, libboost. We also recommend to use `mamba, which is more faster in solving environment dependencies.
References
[1] Romashchenko, Nikolai et al. EPIK: precise and scalable evolutionary placement with informative k-mers. Bioinformatics, 39.12 (2023), btad692.
[2] Romashchenko, Nikolai. Computing informative k-mers for phylogenetic placement. Diss. Université Montpellier, 2021.
[3] Linard, Benjamin et al. “Rapid alignment-free phylogenetic identification of metagenomic sequences.” Bioinformatics 35.18 (2019): 3303-3312.
[4] Scholz, Guillaume E., et al. “Rapid screening and detection of inter-type viral recombinants using phylo-k-mers.” Bioinformatics 36.22-23 (2020): 5351-5360.