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Papers: 10.1186/s40168-021-01044-7

https://doi.org/10.1186/s40168-021-01044-7

Characterization of the public transit air microbiome and resistome reveals geographical specificity

Cited by: 20
Author(s): Marcus H. Y. Leung, Xinzhao Tong, Kari Oline Bøifot, Daniela Bezdan, Daniel Butler, David Danko, Jostein Gohli, D. C. Green, Mark Hernandez, Frank J. Kelly, Shawn Levy, Gabriella Mason-Buck, Marina Nieto-Caballero, Denise Syndercombe‐Court, Klas I. Udekwu, Brian P. Young, Christopher E. Mason, Marius Dybwad, P. K. H. Lee
Published: over 5 years ago

Software Mentions 7

cran: emmeans
Estimated Marginal Means, aka Least-Squares Means
Papers that mentioned: 1,009
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: PERMANOVA
Multivariate Analysis of Variance Based on Distances and Permutations
Papers that mentioned: 6,292
Very Likely Science (85)
cran: RVAideMemoire
Testing and Plotting Procedures for Biostatistics
Papers that mentioned: 191
Very Likely Science (60)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: FishTaco
FishTaco: a metagenomic computational framework, aiming to identify the taxa that are driving functional shifts in microbiomes.
Papers that mentioned: 26
Very Likely Science (100)
pypi: seqtk
seqtk provides various tools for Sequence.
Papers that mentioned: 213
Very Likely Science (65)