Computational Evolutionary Biology is a field of biology that uses computational methods, algorithms, and large data sets (e.g., genomics, transcriptomics) to study evolutionary processes. This field merges computational science with evolutionary studies to analyze large-scale biological data and understand evolutionary relationships.
Homology is the similarity in structure, physiology, or development between different species, which is based on their descent from a common evolutionary ancestor. It is a key piece of evidence for evolution.
The primary goal of computational evolutionary biology is to study evolution by analyzing large biological data sets, such as genomic and transcriptomic information, using computational methods and algorithms.
Computational processes like sequence alignment are used to identify conserved sequences across different species. This data is then used to construct Phylogenetic Trees, which are diagrams representing the evolutionary relationships among various biological species based upon similarities and differences in their physical or genetic characteristics.
The Molecular Clock is a technique that uses the mutation rate of biomolecules to deduce the time in prehistory when two or more life forms diverged. The hypothesis assumes that genetic mutations accumulate at a relatively constant rate over time.