Fig. 1

SurHMM approach creates Shortest Unique Representative Hidden Markov Model (SurHMM) for protein families of interest first, then identifies markers in targeted genomes and metagenomes by scanning predicted open reading frames or six-frame translation of given nucleotide reads. Drawing inspired from [7]