gimlet: a computer program for analysing genetic individual identification data
By Nathaniel Valière. 2002
913 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/5f75739f4e787869a29316153d266f1647cbe2ff
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In Genetics
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Citations in the corpus
- Estimating population size by genotyping remotely plucked hair: the Eurasian badger (2004, methodology): “). (iii) In the manual of the program ( Valiere 2002 ), D. Chessel suggests using the equation y = a ‐ a(1 − (1/a))”
- Ageing and environmental factors affect PCR success in wolf (Canis lupus) excremental DNA samples (2007, methodology): “3 (Valière 2001), with the threshold method (an allele was retained if it was observed at least two times).”
- Mitigating Scoring Errors in Microsatellite Data from Wild Populations (2006, methodology): “gimlet (Valière 2002) and excel microsatellite toolkit (Park 2001), check for identical genotypes, and can be used to estimate error rates from reanalysed quality-assurance samples.”
- Highways block gene flow and cause a rapid decline in genetic diversity of desert bighorn sheep (2005, background): “( Valiere 2002 ), at the number of loci matching between a pair of different DNA extractions (which could be any number of loci less than the maximum of 14 employed in this study).”
- Empirical evaluation of non‐invasive capture–mark–recapture estimation of population size based on a single sampling session (2007, methodology): “The Bayesian estimate (BM) is from Petit & Valibre (2006). The maximum likelihood estimates (ECM and TIRM) are from Miller, Joyce & Waits (2005).”
- Kin-related spatial structure in brown bears Ursus arctos (2005, methodology): “We calculated basic genetic data (allelic frequencies; observed and expected heterozygosities and probabilities of identities) using the software Gimlet (Valière 2002).”
- Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer (2006, methodology): “3.4 (Valière 2002a).”
- Modeling connectivity of black bears in a desert sky island archipelago (2011, methodology): “The program GIMLET (Valiere, 2002) was used to generate a consensus multilocus genotype for each sample and to identify matching multilocus genotypes among samples.”
- Restoring a keystone predator may endanger a prey species in a human‐altered ecosystem: the return of the snow leopard to Sagarmatha National Park (2009, methodology): “Biological samples with identical multilocus genotypes were identified using Gimlet v.3.1 (Valiëre, 2002).”
- Comparison of noninvasive genetic and camera-trapping techniques for surveying snow leopards (2011, methodology): “Three proposed formulas, originally described by Kohn et al. (Kohn—1999), Eggert et al. (Eggert—2003), and D. Chessel (Chessel—Valière 2002), can be used for calculating the rarefaction curve; all were implemented in GIMLET 1.3.1 (Valière 2002).”
- Estimating Population Size of Elusive Animals with DNA from Hunter‐Collected Feces: Four Methods for Brown Bears (2005, methodology): “We analyzed data with the software package GIMLET (Valière 2002), with 1000 random iterations of the genotype sampling order and rarefaction curves obtained from those iterations were plotted using R software (version 1.7.1; available at http://www.r-project.org).”
- The role of genotypic diversity in determining grassland community structure under constant environmental conditions (2007, methodology): “Rarefaction analysis using the accumulation curve of Holdridge et al. (1971), implemented in the program GIMLET (Valière 2002), confirmed that for © 2007 The Authors Journal compilation © 2007 British Ecological Society, Journal of Ecology 95, 895–907 F. ovina, K. macrantha and Carex caryophyllea,…”