AAMToolbox

Statistical Models of Shape and Appearance

Andrew I. Hanna

John Innes Centre and University of East Anglia both in the Norwich Research Park

Program: AAMToolbox

AAMToolbox is a suite of tools written in Matlab that enable users to build statistical models of shape and appearance. The toolbox is broken down into several components including image processing, template editing, point model editing, statistical model generation, statistical model viewing and finally there is a shape and appearance space viewer. The toolbox has been designed to give maximum flexibility allowing users to combine, import and augments projects. In this way it is hoped that the toolbox be accessible and useable for a wide class of projects.

AAMToolbox.zip

Example Project

User Manual.doc

User Manual.html

Acknowledgements: BBSRC for grant support, JIC/UEA.

Software team: Andrew I. Hanna in collaboration with Barry Theobald, Iain Matthews, and the Bangham group in the Computational Biology Group, Computing Sciences, University of East Anglia, Norwich.

Projects:

"Evolutionary paths underlying flower color variation in Antirrhinum”

Annabel C. Whibley (1)*, Nicolas B. Langlade (1)*, Christophe Andalo (2), Andrew I. Hanna (3),

Andrew Bangham (3), Christophe Thébaud (2), and Enrico Coen (1).

1: Dept Cell and Developmental Biology, John Innes Centre, Colney Lane, Norwich, NR4 7UH, United Kingdom.

2: Laboratoire Evolution et Diversité Biologique, UMR 5174 CNRS – Université Paul Sabatier, 31062 Toulouse Cédex 9, France.

3: University of East Anglia, School of Computing Sciences, Earlham Road, Norwich, NR4 7TJ, United Kingdom.

*These authors contributed equally to this work.

Science, 963-966, 313(5789), August 18, 2006.

Link to paper

Abstract: To understand evolutionary paths connecting diverse biological forms, we defined a three-dimensional genotypic space separating two flower color morphs of Antirrhinum. A hybrid zone between morphs showed a steep cline specifically at genes controlling flower color differences, indicating that these loci are under selection. Antirrhinum species with diverse floral phenotypes formed a U-shaped cloud within the genotypic space. We propose this cloud defines an evolutionary path that allows flower color to evolve while circumventing less adaptive regions. Hybridization between morphs located in different arms of the U-shaped path yields low fitness genotypes, accounting for the observed steep clines at hybrid zones.

Downloads: A walk through a 3D evolutionary path, Examination of a 3D evolutionary path

" Evolution through genetically controlled allometry space”

Nicolas B. Langlade, Xianzhong Feng, Tracy Dransfield, Lucy Copsey, Andrew I. Hanna, Christophe Thebaud,

Andrew Bangham, Andrew Hudson, and Enrico Coen.

John Innes Centre and University of East Anglia both in the Norwich Research Park and MRC Edinburgh

PNAS, 10221-10226, 102(29), July 19, 2005.

Downloads: PRJ_D313_select4.zip