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Fast nanopore sequencing data analysis with SLOW5.

Hasindu GamaarachchiHiruna SamarakoonSasha P JennerJames M FergusonTimothy G AmosJillian M HammondHassaan SaadatMartin A SmithSri ParameswaranIra W Deveson
Published in: Nature biotechnology (2022)
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.
Keyphrases
  • data analysis
  • dna methylation
  • single molecule
  • single cell
  • endothelial cells
  • gene expression
  • genome wide
  • solid state
  • machine learning
  • artificial intelligence
  • gestational age