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GenAlEx
Peakall, R., Smouse, P.E., 2006. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6, 288-295.

GenAlEx, short for ' Genetic Analysis in Excel', is a user-friendly cross-platform package for population genetic analysis that runs within Microsoft Excel(TM). GenAlEx enables population genetic data analysis of codominant, haploid and binary genetic data providing analysis tools applicable to plants, animals and microorganisms. GenAlEx was originally developed as a tool to assist us in our teaching of population genetic analysis, and is now widely used by university teachers and researchers around the world. In GenAlEx 6, we are pleased to introduce many new features for both teachers and researchers.

Peakall, R., Smouse, P.E., 2006. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6, 288-295.
http://www.blackwell-synergy.com/doi/abs/10.1111/j.1471-8286.2005.01155.x
Molecular Ecology Notes http://www.blackwell-synergy.com/loi/men

GenAlEx News (Posted 22-Dec-2009)
GenAlEx 6.3 is now available for downloading. This new version of GenAlEx provides an exciting new option for calculating Shannon's Diversity Indices for population genetics based on the paper by Sherwin et al (2006):

Sherwin WB, Jobot F, Rush R and Rossetto M (2006) Measurement of biological information with applications from genes to landscapes. Molecular Ecology, 15, 2857-2869.

Shannon's diversity index for information theory (Shannon 1948) has been widely employed in ecology but has been less widely used in population genetics. Sherwin et al. (2006) showed that Shannon's Indices offer some ideal statistical properties for measuring biological information across multiple scales from genes to landscapes. We are pleased to make this first Shannon module available to GenAlEx users in the hope that it will make Shannon Diversity analysis more accessible in population genetics. Furthermore, an expansion of the options for Shannon Diversity analysis is currently in progress for a future release of GenAlEx.

A number of bug fixes and other minor improvements including additional Stats menu options such as U-tests and G-tests are also provided in this release.

Coinciding with the release of GenAlEx 6.3, we are also pleased to make available a series of self-paced tutorials on population genetic analysis using GenAlEx. These tutorials are based on material we have prepared to support our various graduate workshops.

We would like to thank the many students who attended our graduate workshops in Canberra (Australia) and Copenhagen (Denmark) in 2009 for beta testing GenAlEx 6.3 and suggesting improvements to our tutorials. We also thank Bill Sherwin for working closely with us in the development of the new Shannon option.

Rod Peakall and Peter Smouse Dec 2009


GenAlEx and Macintosh Compatibility
Please note that GenAlEx is not compatible with Office 2008 on the Macintosh.   Unfortunately, Microsoft no longer support the macro language Visual Basic for Applications (VBA) used to write GenAlEx .   This means any Excel Add-ins including GenAlEx no longer run in Office 2008.   The good news is that in the response to the many unhappy customers, rumours indicate Microsoft will bring VBA back to the Mac in future versions of Excel.

(see http://www.macobserver.com/article/2008/05/13.2.shtml)

Meanwhile, the options for Mac users are either: 1. keep Office 2004 on your Mac, 2. run GenAlEx within Office 2007 in Windows on an Intel Mac, or 3. Run GenAlEx on a PC.   Note that VBA applications like GenAlEx have always run considerably faster in Windows so options 2 or 3 will be faster especially for larger data sets.

Previous News


Features of GenAlEx

Special features for teaching

  • More than 20 different kinds of graphs to summarise data analysis.
  • An intuitive and consistent user interface with context-dependent dialog boxes to guide students.
  • Several tools designed specifically for teaching students.

Special features for research

  • Tools for importing, editing and manipulating raw genotype and sequence data from automated sequencing or genotyping software.
  • A diverse range of tools for data exploration.
  • New 2D spatial autocorrelation procedures in addition to the existing wide range of spatial analysis options.
  • Estimation of pairwise relatedness among individuals.
  • Tools for genetic tagging applications, including location of matching genotypes and calculation of probabilities of identity.
  • Tools to assists users keep track of data analysis.
  • Data export options to other population genetic software packages.

Documentation

  • New tutorial modules available for GenAlEx 6.3 onwarrds
  • A comprehensive independently written guide.
  • A summary of the methods, statistical formulae and supporting references.
  • Background to the spatial autocorrelation analyses offered.
  • Flow charts illustrating procedures and pathways of analysis.

Computer requirements
GenAlEx is written in Visual Basic for Applications within Microsoft Excel (TM) and is compatible with Excel 97 upwards under Microsoft Windows(TM) and Excel 98 upwards to Excel 2004 on the Macintosh (TM). GenAlEx 6.3 has been extensively tested in Excel 2003 and Excel 2007 within Windows XP (TM) and Windows Vista (TM), and in Excel 2004 within OS X on the Macintosh (TM).


Disclaimer
This program is provided free of charge by the authors. While every effort has been taken to ensure the accuracy of the results and the smooth operation of the program, we regret that we are unable to take responsibility for unintentional errors or problems that may be encountered by users. We are also unable to provide individualized support for users of the program.


Authors
Professor Rod Peakall
Evolution, Ecology & Genetics
Research School of Biology
The Australian National University
Canberra ACT 0200
Australia
Email: rod.peakall@anu.edu.au

Professor Peter Smouse
Department of Ecology, Evolution and Natural Resources, Cook College
Rutgers University
New Brunswick NJ 08901-8551 USA
Email: smouse@AESOP.Rutgers.edu


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