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Large-scale sequence comparisons with sourmash.

N Tessa PierceLuiz IrberTaylor ReiterPhillip BrooksC Titus Brown
Published in: F1000Research (2019)
The sourmash software package uses MinHash-based sketching to create "signatures", compressed representations of DNA, RNA, and protein sequences, that can be stored, searched, explored, and taxonomically annotated. sourmash signatures can be used to estimate sequence similarity between very large data sets quickly and in low memory, and can be used to search large databases of genomes for matches to query genomes and metagenomes. sourmash is implemented in C++, Rust, and Python, and is freely available under the BSD license at http://github.com/dib-lab/sourmash.
Keyphrases
  • working memory
  • amino acid
  • big data
  • genome wide
  • circulating tumor
  • electronic health record
  • data analysis
  • single molecule
  • cell free
  • room temperature
  • protein protein
  • binding protein
  • machine learning