Extended many-item similarity indices for sets of nucleotide and protein sequences

Quantification of similarities between protein sequences or DNA/RNA strands is a (sub-)task that ubiquitously present in bioinformatics workflows, and usually accomplished by pairwise comparisons sequences, utilizing simple ( e.g. percent identity) more intricate concepts substitution scoring matrices). Complex tasks (such as clustering) rely on large number under the hood, instead direct quantification set similarities. Based our recently introduced framework enables multiple binary molecular fingerprints i.e. , calculation similarity fingerprint sets), here we introduce novel symmetric indices for analogous calculations sets character with than two t ) possible items = 4, 20). The features these new are studied detail analysis variance (ANOVA), demonstrated three case studies protein/DNA varying degrees (or evolutionary proximity). Python code extended many-item publicly available at: https://github.com/ramirandaq/tn_Comparisons .