Detection of High Variability Regions Between Protein Sequence Sets Representing a Binary Phenotype
Abstract:
A computer-based bioinformatics method for identifying protein sequence differences between sets of sequences grouped into different phenotype data sets that involves querying a database to identify common sequence motifs within a first phenotype data set and another phenotype data set of protein sequences, computing a pairwise correlation among motifs for each data set, and computing the variation between the data sets to identify one or more motifs that are conserved in a given data set and thus correlate with that data set's phenotype.
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