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FAT-CAT

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])

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