Case study 2: TIGRFAMs
TIGRFAMs is a resource consisting of curated multiple sequence alignments, Hidden Markov Models (HMMs) for protein sequence classification, and associated information designed to support automated annotation of (mostly prokaryotic) proteins.
This second case study describes how the TIGRFAMs HMM collection is generated, and what can be inferred from examining their equivalog models.
TIGRFAMs are now part of NCBIfam. For more information about the TIGRFAMs resource, including a glossary of terms used, see the NCBIfam website.
For more information about Genome Properties (mentioned in the video), see our Genome Properties Quick Tour.