High Performance Multiple Sequence Alignment Algorithms for Comparison of Microbial Genomes
CoRR(2023)
摘要
Advances in gene sequencing have enabled in silico analyses of microbial
genomes and have led to the revision of concepts of microbial taxonomy and
evolution. We explore deficiencies in existing multiple sequence global
alignment algorithms and introduce a new indexing scheme to partition the
dynamic programming algorithm hypercube scoring tensor over processors based on
the dependency between partitions to be scored in parallel. The performance of
algorithms is compared in the study of rpoB gene sequences of Mycoplasma
species.
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