smogd: software for the measurement of genetic diversity

By Nicholas G. Crawford. Molecular Ecology Resources, 2010

641 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/32a45b07c17b68f2902db8bcd3f185835c1d6c1c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. P. Meirmans
2. P. Prodöhl
3. K. Keenan
4. P. Hedrick
5. T. Cross
6. David J. Winter
7. Peter E. Smouse
8. Rod Peakall

In Plant Science

1. P. Meirmans
2. P. Hedrick
3. David J. Winter
4. Andrew Storfer
5. Y. El-Kassaby
6. Stephen F. Spear
7. M. Mccarthy
8. Phillip A. Morin

Citations in the corpus

• diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors (2013, background): “SMOGD, for example, which is perhaps the most popular of these applications (with over 212 citations according to Google scholar), calculates bootstrapped confidence intervals for DJost at the locus level across all population samples, but does not provide this estimation for either the global or pa”
• Assessing population structure: FST and related measures (2011, methodology): “Nevertheless, it is advisable to perform an analysis of the standard error or confidence interval of estimates, e.g. using a bootstrapping (SPADE, SMOGD) or jackknifing (GENODIVE) approach.”