Identification of repeats in protein sequences via HMM-HMM comparison to exploit evolutionary information in the form of multiple sequence alignments of homologs
RADAR identifies short composition biased and gapped approximate repeats, as well as complex repeat architectures involving many different types of repeats in a query sequence
data-mining tool designed to efficiently identify Tandem Repeat (TR) patterns in biological sequence data. The program uses a seed-extension strategy coupled with several post-processing algorithms to analyze FASTA-formatted protein or nucleotide sequences
Detects tandem repeats with both de novo software and sequence profile HMMs; statistical significance analysis of putative tandem repeats, and filtering of redundant predictions
Uses periodicities of atomic coordinates and other types of structural representation, including strings generated by conformational alphabets, residue contact maps, and arrangements of vectors of secondary structure elements
Detects internally symmetric protein structures through an “alignment scan” procedure in which a protein structure is aligned to itself after circularly permuting the second copy by all possible number of residues
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