NIH R01 · 2025
HMMER and Infernal: Finding distant homologs of sequences and RNA structures
Project Summary/Abstract Genome sequence data is now available for hundreds of thousands of species. Our ability to exploit this vast trove of information about the molecular basis and evolution of life depends on sophisticated computational analysis tools. One important class of tools is profile analysis software, for making consensus statistical models of multiple alignments of biological sequence families, and for using those models to sensitively detect homologs and make deep multiple alignments. Profile analysis derives its power from the fact that despite the unbounded growth of sequence data, the majority of functional sequences can be condensed into a manageably small number of…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.