mirlyn-pkg: mirlyn: A package for blah blah.
In escamero/mirlyn: Multiple Iterations of Rarefying for Library Normalization
mirlyn-pkg R Documentation
mirlyn: A package for blah blah.
Description
The package desc.
mirlyn is a package that allows for library size normalization for
diversity analysis. This package also includes supplementary functions to
generate taxonomic composition bar graphs and the assignment of ASV names to
unique and easily referenced identities. The majority of the functions
included in mirlyn serve to account for the issue of disparity in liblrary
sizes between amplicon sequencing samples. The variation seen between library
sizes of different amplicon sequencing samples is not representative of true
biological variation and requires a normalization technique to allow for
sample comparison in diversity analysis without inherent bias. While a variety
of library normalization techniques have been proposed in the literature,
mirlyn repeatedly rarefies samples to characterize the sequence data lost in
the random subsampling process. The characterization of variation through
rarefying allows for the creation of comprehensive computational replicates
that provide stronger representation of the original biological communities
while also accounting for differences in library size.
escamero/mirlyn documentation built on Aug. 6, 2023, 9:30 p.m.
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| mirlyn-pkg | R Documentation |
mirlyn: A package for blah blah.
Description
The package desc.
mirlyn is a package that allows for library size normalization for
diversity analysis. This package also includes supplementary functions to
generate taxonomic composition bar graphs and the assignment of ASV names to
unique and easily referenced identities. The majority of the functions
included in mirlyn serve to account for the issue of disparity in liblrary
sizes between amplicon sequencing samples. The variation seen between library
sizes of different amplicon sequencing samples is not representative of true
biological variation and requires a normalization technique to allow for
sample comparison in diversity analysis without inherent bias. While a variety
of library normalization techniques have been proposed in the literature,
mirlyn repeatedly rarefies samples to characterize the sequence data lost in
the random subsampling process. The characterization of variation through
rarefying allows for the creation of comprehensive computational replicates
that provide stronger representation of the original biological communities
while also accounting for differences in library size.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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