Carlos Fischer

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Profile hidden Markov models (profile HMMs) are known to efficiently predict whether an amino acid (AA) sequence belongs to a specific protein family. Profile HMMs can also be used to search for protein domains in genome sequences. In this case, HMMs are typically learned from AA sequences and then used to search on the six-frame translation of nucleotide(More)
Laboratories working on Molecular Phylogeny develop a work routine that involves the following basic tasks: collection of different organisms, obtaining of molecular data (through DNA sequencing), alignment of sequenced fragments [5], and analysis of results [2]; they are addressed to the study of phylogeny and evolution of the molecules of interest. Most(More)
Profile hidden Markov models (profile HMMs) are known to efficiently predict whether an amino acid (AA) sequence belongs to a specific protein family. Profile HMMs can also be used to search for protein domains in genome sequences. In this case, HMMs are typically learned from AA sequences and then used to search on the six-frame translation of nucleotide(More)
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