SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data
Bioinformatics, 2022•academic.oup.com
Here, we introduce SNIKT, a command-line tool for sequence-independent visual
confirmation and input-assisted removal of adapter contamination in whole-genome shotgun
or metagenomic shotgun long-read sequencing DNA or RNA data. Availability and
Implementation SNIKT is implemented in R and is compatible with Unix-like platforms. The
source code, along with documentation, is freely available under an MIT license at
https://github. com/piyuranjan/SNIKT. Supplementary information Supplementary data are …
confirmation and input-assisted removal of adapter contamination in whole-genome shotgun
or metagenomic shotgun long-read sequencing DNA or RNA data. Availability and
Implementation SNIKT is implemented in R and is compatible with Unix-like platforms. The
source code, along with documentation, is freely available under an MIT license at
https://github. com/piyuranjan/SNIKT. Supplementary information Supplementary data are …
Summary
Here, we introduce SNIKT, a command-line tool for sequence-independent visual confirmation and input-assisted removal of adapter contamination in whole-genome shotgun or metagenomic shotgun long-read sequencing DNA or RNA data.
Availability and Implementation
SNIKT is implemented in R and is compatible with Unix-like platforms. The source code, along with documentation, is freely available under an MIT license at https://github.com/piyuranjan/SNIKT.
Supplementary information
Supplementary data are available at Bioinformatics online.
Oxford University Press