GitHub - phylogenomics/FAT-CAT: Fast Approximate Tree Classification

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Fast Approximate Tree Classification

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Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
validation_scripts		validation_scripts
README		README
fatcat-1.py		fatcat-1.py
fatcat_w_tree_comparisons.py		fatcat_w_tree_comparisons.py
fc_rough.py		fc_rough.py
gpcr_new.seq		gpcr_new.seq
gpcr_test.aln		gpcr_test.aln
gpcr_test.newick		gpcr_test.newick
new_sequence.fasta		new_sequence.fasta
sample_alignment.msa		sample_alignment.msa
sample_tree.ml		sample_tree.ml

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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)
  Bushra Samad (bushra@berkeley.edu)
  Grant Shoffner (gmshoffner@gmail.com)
  Ajith Warrier (a.varier@gmail.com)