I am a big fan of Python, a general-purpose programming language known for being easy to learn and use – so easy, in fact, that even a quantitatively challenged biologist like me can make semi-useful things with it. As a grad student I cut my teeth learning C, and then Java; but one day in the late nineties I picked up a copy of Linux Journal, read an article about Python, and never looked back. Goodbye, segfaults and linker headaches! Sayonara, extremelyLongAndVerboseJavaClassHierarchies!
Here are some things I’m currently working on.
Phylografter - collaborative storage and synthesis of phylogenetic trees
- data input component of the Open Tree of Life project
- based on web2py, raphael.js, jQuery, etc.
- source code: https://github.com/OpenTreeOfLife/phylografter
- reference (version 1): Beaulieu et al. 2012, Ecology [PDF]
Lagrange – likelihood analysis of geographic range evolution
- estimate rates of dispersal and local extinction from categorically-coded geographic range data on phylogenetic trees
- ancestral-area estimation in the context of bifurcating range inheritance scenarios, e.g., vicariance
- customized constraints may be placed on dispersal in space and through time
- reference: Ree and Smith 2008, Systematic Biology [PDF]
GeoSSE – range-dependent analysis of speciation and extinction rates
- models reciprocal effects of geographic range evolution and lineage diversification
- implemented by Emma Goldberg in the diversitree R package (not Python, boo!)
- reference: Goldberg et al. 2011, Systematic Biology [PDF]
Biodiversity of the Hengduan Mountains and adjacent areas of south-central China
- specimen database recording inventories of plants and fungi in Sichuan, Xizang (Tibet), Yunnan, and Qinghai
- photographs of localities (habitats), living specimens in the field, and herbarium sheets
- can be used to search for and request tissue samples of plants for DNA extraction
- multi-lingual gazetteer
Ivy – interactive visual phylogenetics
- Python module for interactively exploring and analyzing phylogenetic trees and comparative data
- can also be used as a backend library
- based on IPython and matplotlib
- source code: https://github.com/rhr/ivy
Tred – draw multi-page PDF figures of phylogenetic trees
- source code: https://github.com/rhr/tred