2) By using the view single nucleotide polymorphism (SNP) function, SNPs from dbSNP are mapped in the sequence window.

A user can select any set of the SNPs and then identify any minimotif that is introduced or eliminated by the SNP or mutation.

A major limitation in this type of analysis is that the low sequence complexity of short minimotifs produces false positive predictions where the sequence occurs in a protein by random chance and not because it contains the predicted function.

MnM 3.0 introduces a library of advanced heuristics and filters, which enable vast reduction of false positive predictions.

We recently combined all of these heuristics into a single, compound filter which makes significant progress toward solving this problem with high accuracy of minimotif prediction as measured by a performance benchmarking study which evaluated both sensitivity and specificity.