Fast Approximate Tree Classification
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README
fc_rough.py
new_sequence.fasta
sample_alignment.msa
sample_tree.ml

README

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 (shailen.tuli@gmail.com)
  Grant Shoffner (gmshoffner@gmail.com)
  Bushra Samad (bushra@berkeley.edu)