Tag: SLIM

SLiM 3.3.1 – Forward Population Genetic Simulation

SLiM 3.3.1

:: DESCRIPTION

SLiM (Selection on Linked Mutations) is an evolutionary simulation framework that combines a powerful engine for population genetic simulations with the capability of modeling arbitrarily complex evolutionary scenarios. Simulations are configured via the integrated Eidos scripting language that allows interactive control over practically every aspect of the simulated evolutionary scenarios.

::DEVELOPER

Messer Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • MacOsX
:: DOWNLOAD

SLiM

:: MORE INFORMATION

Citation

SLiM 3: Forward Genetic Simulations Beyond the Wright-Fisher Model.
Haller BC, Messer PW.
Mol Biol Evol. 2019 Mar 1;36(3):632-637. doi: 10.1093/molbev/msy228.

SLIM 1.1 – Sliding Linear Model for Estimating the Proportion of true null Hypotheses in Datasets

SLIM 1.1

:: DESCRIPTION

SLIM (Sliding Linear Model) is a software to more reliably estimate π(0) under dependence. When tested on a number of simulation datasets with varying data dependence structures and on microarray data, SLIM was found to be robust in estimating π(0) against dependence. The accuracy of its π(0) estimation suggests that SLIM can be used as a stand-alone tool for prediction of significant tests.

::DEVELOPER

 the Tsai lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
:: DOWNLOAD

 SLIM

:: MORE INFORMATION

Citation

Bioinformatics. 2011 Jan 15;27(2):225-31. Epub 2010 Nov 18.
SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures.
Wang HQ, Tuominen LK, Tsai CJ.