Catwalk: identifying closely related sequences in large microbial sequence databases.
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ABSTRACT: There is a need to identify microbial sequences that may form part of transmission chains, or that may represent importations across national boundaries, amidst large numbers of SARS-CoV-2 and other bacterial or viral sequences. Reference-based compression is a sequence analysis technique that allows both a compact storage of sequence data and comparisons between sequences. Published implementations of the approach are being challenged by the large sample collections now being generated. Our aim was to develop a fast software detecting highly similar sequences in large collections of microbial genomes, including millions of SARS-CoV-2 genomes. To do so, we developed Catwalk, a tool that bypasses bottlenecks in the generation, comparison and in-memory storage of microbial genomes generated
SUBMITTER: Volk D
PROVIDER: S-EPMC9455716 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature
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