fsa_metadata

Retrieves basic info from .fsa files about the sample and run,and aggregates
multiple samples in a single object.

Analyzing genetic data obtained from pooled samples.
This package can read in Fragment Analysis output files, process the data,
and score peaks, as well as facilitate various analyses, including cluster
analysis, calculation of genetic distances and diversity indices,
as well as bootstrap resampling for statistical inference. Specifically
tailored to handle genetic data efficiently, researchers can explore
population structure, genetic differentiation, and genetic relatedness
among samples. We updated some functions from Covarrubias-Pazaran et al.
(2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats
and referenced the following to write our genetic analysis functions:
Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008)
<doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973)
<doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006)
<doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008)
<doi:10.1111/j.1541-0420.2008.01010.x>.

Kathleen Kuesters

pooledpeaks

Genetic Analysis of Pooled Samples

Jeffrey Long

Jessica Blanton

Walter Blank

Jeffrey Kovach

Ronald Blanton

fsa_metadata function

<dl><dt>x</dt>
<dd>The path to the folder from the current directory where the .fsa
files that will be analyzed are stored.</dd></dl>

Arguments

Retrieve Metadata — fsa_metadata

<dl>

<dt>x</dt>
<dd>The path to the folder from the current directory where the .fsa
files that will be analyzed are stored.</dd>

</dl>

fsa_metadata: Retrieve Metadata

Description

Usage

Value

Arguments

Examples