Fast nanopore sequencing data analysis with SLOW5
Hasindu Gamaarachchi, Hiruna Samarakoon, Sasha P. Jenner, James M. Ferguson, Timothy G. Amos, Jillian M. Hammond, Hassaan Saadat, Martin A. Smith, Sri Parameswaran, Ira W. Deveson
Abstract
Nanopore sequencing depends on the FAST5 file format, which does not allow efficient parallel analysis. Here we introduce SLOW5, an alternative format engineered for efficient parallelization and acceleration of nanopore data analysis. Using the example of DNA methylation profiling of a human genome, analysis runtime is reduced from more than two weeks to approximately 10.5 h on a typical high-performance computer. SLOW5 is approximately 25% smaller than FAST5 and delivers consistent improvements on different computer architectures.
Topics & Concepts
Nanopore sequencingNanoporeProfiling (computer programming)Computer scienceDNA sequencingParallel computingComputational biologyDNABiologyNanotechnologyGeneticsOperating systemMaterials scienceGenomics and Phylogenetic StudiesAlgorithms and Data CompressionMachine Learning in Bioinformatics