Abstract: In some embodiments, a method for verifying genetic samples using contextual metadata can include receiving at least one genetic sample, identifying one or more contextual parameters associated with the at least one genetic sample, obtaining one or more etches selected from a set of etches to encode the one or more contextual parameters, and pooling the one or more etches with the at least one genetic sample in a sample environment, wherein pooling prevents binding of the one or more etches to the at least one genetic sample.

Abstract: Statistical algorithms that are useful to aid in the identification of evolutionarily conserved amino acid positions within a family of proteins, and in the identification of interacting amino acid positions within a protein sequence are disclosed. The algorithms may also be useful in the analysis of other polymer sequences such as polysaccharides, lipids, deoxyribonucleic acid (DNA), and ribonucleic acid sequences (RNA), and, more specifically, in the analysis of DNA microarray data. Algorithms useful for analyzing the structural changes of perturbations to determine the mechanisms by which positions are coupled are also disclosed.

Abstract: Statistical algorithms that are useful to aid in the identification of evolutionarily conserved amino acid positions within a family of proteins, and in the identification of interacting amino acid positions within a protein sequence are disclosed. The algorithms may also be useful in the analysis of other polymer sequences such as polysaccharides, lipids, deoxyribonucleic acid (DNA), and ribonucleic acid sequences (RNA), and, more specifically, in the analysis of DNA microarray data. Algorithms useful for analyzing the structural changes of perturbations to determine the mechanisms by which positions are coupled are also disclosed.