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Large-scale sequence comparisons with sourmash

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 da...

Descripción completa

Detalles Bibliográficos
Autores principales: Pierce, N. Tessa, Irber, Luiz, Reiter, Taylor, Brooks, Phillip, Brown, C. Titus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720031/
https://www.ncbi.nlm.nih.gov/pubmed/31508216
http://dx.doi.org/10.12688/f1000research.19675.1
Descripción
Sumario: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.