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Papers: 10.1038/s41598-021-97071-3

https://doi.org/10.1038/s41598-021-97071-3

Characterizing rhizosphere microbiota of peanut (Arachis hypogaea L.) from pre-sowing to post-harvest of crop under field conditions

Cited by: 10
Author(s): Ankit T. Hinsu, Ketankumar Panchal, Ramesh Pandit, Prakash G. Koringa, Ramesh Kothari
Published: almost 4 years ago

Software Mentions 14

bioconductor: dada2
Accurate, high-resolution sample inference from amplicon sequencing data
Papers that mentioned: 274
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: phyloseq
Handling and analysis of high-throughput microbiome census data
Papers that mentioned: 1,702
Very Likely Science (75)
cran: ggnewscale
Multiple Fill and Colour Scales in 'ggplot2'
Papers that mentioned: 12
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: ggpubr
'ggplot2' Based Publication Ready Plots
Papers that mentioned: 856
Very Likely Science (75)
cran: ggrepel
Automatically Position Non-Overlapping Text Labels with 'ggplot2'
Papers that mentioned: 164
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: randomcoloR
Generate Attractive Random Colors
Papers that mentioned: 7
Very Likely Science (75)
cran: RColorBrewer
ColorBrewer Palettes
Papers that mentioned: 490
Very Likely Science (83)
cran: scales
Scale Functions for Visualization
Papers that mentioned: 104
Very Likely Science (100)
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
Very Likely Science (100)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: scales
Stats for Python processes
Papers that mentioned: 104
Very Likely Science (65)