Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sasha P, Jenner"'
Autor:
Hiruna Samarakoon, James M. Ferguson, Sasha P. Jenner, Timothy G. Amos, Sri Parameswaran, Hasindu Gamaarachchi, Ira W. Deveson
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract Nanopore sequencing is being rapidly adopted in genomics. We recently developed SLOW5, a new file format with advantages for storage and analysis of raw signal data from nanopore experiments. Here we introduce slow5tools, an intuitive toolki
Externí odkaz:
https://doaj.org/article/bdedefea4b9f4108a0dc1f3cdbb52fce
Autor:
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
Publikováno v:
Nature Biotechnology. 40:1026-1029
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 exam
Autor:
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
Nanopore sequencing is an emerging genomic technology with great potential. However, the storage and analysis of nanopore sequencing data have become major bottlenecks preventing more widespread adoption in research and clinical genomics. Here, we el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0d8da578609977aefb614a4d708a2c9
https://doi.org/10.1101/2021.06.29.450255
https://doi.org/10.1101/2021.06.29.450255
Autor:
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
Publikováno v:
Nature biotechnology. 40(7)
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 exam