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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pntd.0008018

https://doi.org/10.1371/journal.pntd.0008018

Using affinity propagation clustering for identifying bacterial clades and subclades with whole-genome sequences of Francisella tularensis

Cited by: 5
Author(s): Anne Busch, Timo Homeier‐Bachmann, Mostafa Y. Abdel-Glil, Anja Hackbart, Helmut Hotzel, Herbert Tomaso
Published: almost 5 years ago

Software Mentions 6

cran: apcluster
Affinity Propagation Clustering
Papers that mentioned: 20
Very Likely Science (75)
cran: kmer
Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Papers that mentioned: 240
Very Likely Science (100)
pypi: 0
0
Papers that mentioned: 1,265
Very Likely Science (65)
pypi: MetaPhlAn
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.
Papers that mentioned: 306
Very Likely Science (100)
pypi: pyani
pyani provides a package and script for calculation of genome-scale average nucleotide identity.
Papers that mentioned: 120
Very Likely Science (100)
pypi: silhouette
Papers that mentioned: 1
Very Likely Science (65)