Iterative Profile Refinement
Iterative Profile Refinement is a computational method in the context of Profile Hidden Markov Models that progressively enhances the alignment and parameter estimation of the model by successively retraining on updated sequence alignments to improve sensitivity and specificity in remote homology detection.
3
Publications
551
Citations
6
Authors
3
Institutions
Publications per year
2017–2026
0
Parents
3
An evolutionary classification of the metallo-beta-lactamase fold proteins.
L. Aravind · PubMed · 1999 · 180 citations
1–4 of 3
6
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National Center for Biotechnology Information, United States
1 publications · 180 citations
1
h-index
1–5 of 6
3
The Ohio State University
Columbus, United States
1 h-index
3 publications
93 citations

European Bioinformatics Institute
Cambridge, United Kingdom
1 h-index
2 publications
680 citations
National Center for Biotechnology Information
Bethesda, United States
1 h-index
1 publications
180 citations
National Institutes of Health
Bethesda, United States
1 publications
76 citations
1–4 of 3
1 publications · 31 citations
1
h-index
1 publications · 340 citations
1
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Repository · 1 publications · 180 citations
1
h-index
ISB · 1 publications · 76 citations
1–4