PopGenReport: simplifying basic population genetic analyses in R
By A. Adamack, Bernd Gruber. 2014
558 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Genetics
View Paper: https://www.semanticscholar.org/paper/170c129e4f60133ecfc811d7487186a6c868727c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- O. Berry
- Arthur Georges
- Uma Ramakrishnan
- S. Vaidyanathan
- Erin L. Landguth
- P. Thatte
- P. Unmack
- Bernd Gruber
In Genetics
- S. Vaidyanathan
- Erin L. Landguth
- P. Thatte
- O. Berry
- Arthur Georges
- Uma Ramakrishnan
- P. Unmack
- Bernd Gruber
Citations in the corpus
- Maintaining tiger connectivity and minimizing extinction into the next century: Insights from landscape genetics and spatially-explicit simulations (2017, methodology): “At the end of each simulation, we calculated genetic diversity indices (heterozygosity, inbreeding and allelic richness) and differentiation indices (Global and pairwise Fst, G’st, Jost D) (Jombart 2008; Adamack & Gruber 2014).”
- dartr: An r package to facilitate analysis of SNP data generated from reduced representation genome sequencing (2018, methodology): “For example, the package POPGENREPORT (Adamack & Gruber, 2014) calculates landscape resistance matrices and conducts isolation – by-distance analysis based on genind objects, and the package MMOD (Winter, 2012) calculates a variety of genetic distance metrics also based on the genind format.”