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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.pone.0242073

https://doi.org/10.1371/journal.pone.0242073

Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data

Cited by: 14
Author(s): Xinyan Zhang, Boyi Guo, Nengjun Yi
Published: over 4 years ago

Software Mentions 5

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: metagenomeSeq
Statistical analysis for sparse high-throughput sequencing
Papers that mentioned: 169
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
pypi: lme
Cotação London Metal Exchange
Papers that mentioned: 228
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)