HamHeat

HamHeat calculates Hamming distances among aligned protein and DNA sequences to quantify sequence variation for comparative and evolutionary analyses.

Key Features:

• Efficient Algorithm: Computes Hamming distances for aligned protein and nucleic acid sequences across hundreds of variants.
• Three-Module Architecture: Consists of a ranking module that identifies the most common sequence as the reference, a distance calculation module that counts residue or nucleotide differences relative to that reference, and a result formatting module that outputs a table of sequence ranks and Hamming distances.
• Scalable Computation: Handles large datasets and produces per-sequence distance metrics suitable for downstream analyses.

Scientific Applications:

• Genetic variation analysis: Quantifies pairwise sequence differences to characterize variant distributions within datasets.
• Evolutionary and comparative analyses: Provides distance measures useful for assessing evolutionary relationships among sequences.
• Mutation pattern analysis: Identifies positional residue or nucleotide differences relative to the most frequent sequence to inform mutation studies.
• Sequence alignment quality assessment: Supplies per-sequence discrepancy counts that can indicate alignment inconsistencies.
• Heatmap visualization: Produces distance matrices that can be visualized as heatmaps to display patterns of sequence variation.

Methodology:

Implemented using Python 3 and AWK and intended to run on Linux systems.