Package: microseq 2.1.6

microseq: Basic Biological Sequence Handling

Basic functions for microbial sequence data analysis. The idea is to use generic R data structures as much as possible, making R data wrangling possible also for sequence data.

Authors:Lars Snipen, Kristian Hovde Liland

microseq_2.1.6.tar.gz
microseq_2.1.6.zip(r-4.5)microseq_2.1.6.zip(r-4.4)microseq_2.1.6.zip(r-4.3)
microseq_2.1.6.tgz(r-4.4-x86_64)microseq_2.1.6.tgz(r-4.4-arm64)microseq_2.1.6.tgz(r-4.3-x86_64)microseq_2.1.6.tgz(r-4.3-arm64)
microseq_2.1.6.tar.gz(r-4.5-noble)microseq_2.1.6.tar.gz(r-4.4-noble)
microseq_2.1.6.tgz(r-4.4-emscripten)microseq_2.1.6.tgz(r-4.3-emscripten)
microseq.pdf |microseq.html✨
microseq/json (API)

# Install 'microseq' in R:
install.packages('microseq', repos = c('https://larssnip.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/larssnip/microseq/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

23 exports 2 stars 1.78 score 20 dependencies 3 dependents 45 scripts 593 downloads

Last updated 4 months agofrom:1bf4da28cd. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64NOTEAug 20 2024
R-4.5-linux-x86_64NOTEAug 20 2024
R-4.4-win-x86_64NOTEAug 20 2024
R-4.4-mac-x86_64NOTEAug 20 2024
R-4.4-mac-aarch64NOTEAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:backTranslatefindGenesfindOrfsfindrRNAgff2fastagregexpriupac2regexlorfsmsa2matmsalignmsaTrimmuscleorfLengthorfSignaturereadFastareadFastqreadGFFregex2iupacreverseComplementtranslatewriteFastawriteFastqwriteGFF

Dependencies:clidata.tabledplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6Rcpprlangstringistringrtibbletidyselectutf8vctrswithr

The microseq package vignette

Rendered fromvignette.Rnwusingutils::Sweaveon Aug 20 2024.

Last update: 2022-07-05
Started: 2017-08-04