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- W2145151718 abstract "Genome sequence comparisons of exponentially growing data sets form the foundation for the comparative analysis tools provided by community biological data resources such as the integrated microbial genome (IMG) system at the joint genome institute (JGI). For a genome sequencing center to provide multiple-genome comparison capabilities, it must keep pace with exponentially growing collection of sequence data, both from its own genomes, and from public genomes. We present an example of how ScalaBLAST, a high-throughput sequence analysis program, harnesses increasingly critical high-performance computing to perform sequence analysis, enabling, for example, all vs. all BLAST runs across 2 million protein sequences within a day using thousands of processors as opposed to conventional comparison methods that would take years to complete." @default.
- W2145151718 created "2016-06-24" @default.
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- W2145151718 date "2007-11-01" @default.
- W2145151718 modified "2023-10-18" @default.
- W2145151718 title "High-throughput computation of pairwise sequence similarities for multiple genome comparisons using ScalaBLAST" @default.
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- W2145151718 doi "https://doi.org/10.1109/lssa.2007.4400891" @default.
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