FAT-CAT is a project mainly written in PYTHON and OCAML, it's free.
Fast Approximate Tree Classification
FAT-CAT is an open-source project of the Sjolander Lab at UC Berkeley. FAT-CAT stands for Fast Approximate Tree ClassifiCATion and implements an HMM based method to place a sequence within an existing phylogenetic tree.
The project is supervised by Kimmen Sjolander, Dept.of Bioengineering and Dept. of Plant and Microbial Biology
The main developers so far are: Shailen Tuli ([email protected]) Grant Shoffner ([email protected]) Bushra Samad ([email protected])