Protocols

MCLEEPS specifications

Information


Unique identifier OMICS_20131
Name MCLEEPS
Alternative name Monte Carlo Likelihood for Estimation of Effective Population Size
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes

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Versioning


No version available

Documentation


Maintainer


  • person_outline Eric C. Anderson

Publication for Monte Carlo Likelihood for Estimation of Effective Population Size

MCLEEPS citation

call_split

Catastrophic Floods May Pave the Way for Increased Genetic Diversity in Endemic Artesian Spring Snail Populations

2011
PLoS One
PMCID: 3243680
PMID: 22205959
DOI: 10.1371/journal.pone.0028645
call_split See protocol

[…] statistical methods of estimating Ne in the pre and post flood years for each of the focal springs. The programs were as follows 1) NEESTIMATOR v1.3 which provides a moment-based estimate of Ne ; 2) MCLEEPS v1.1 which provides a maximum-likelihood estimate of Ne. We used this program to compute the likelihoods for Ne values between 5 and 1000 in increments of 5 using 10,000 Monte Carlo replicate […]

MCLEEPS institution(s)
Interdisciplinary Program in Quantitative Ecology and Resource Management, University of Washington, Seattle, WA, USA; Department of Integrative Biology, University of California, Berkeley, CA, USA; Department of Statistics, University of Washington, Seattle, WA, USA
MCLEEPS funding source(s)
National Science Foundation grants BIR-9807747 and BIR-9256537; National Institutes of Health grant GM40282; the University of Washington QERM program; a Burroughs Wellcome Fund PMMB training fellowship

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