Package: microseq 2.1.8

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 [aut, cre], Kristian Hovde Liland [aut]

microseq_2.1.8.tar.gz
microseq_2.1.8.zip(r-4.7)microseq_2.1.8.zip(r-4.6)microseq_2.1.8.zip(r-4.5)
microseq_2.1.8.tgz(r-4.6-x86_64)microseq_2.1.8.tgz(r-4.6-arm64)microseq_2.1.8.tgz(r-4.5-x86_64)microseq_2.1.8.tgz(r-4.5-arm64)
microseq_2.1.8.tar.gz(r-4.7-arm64)microseq_2.1.8.tar.gz(r-4.7-x86_64)microseq_2.1.8.tar.gz(r-4.6-arm64)microseq_2.1.8.tar.gz(r-4.6-x86_64)
microseq_2.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
microseq/json (API)

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

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

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

On CRAN:

Conda:

cpp

5.02 score 3 stars 2 packages 97 scripts 503 downloads 23 exports 19 dependencies

Last updated from:68b48e6704. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK132
source / vignettesOK142
linux-release-arm64OK128
linux-release-x86_64OK128
macos-release-arm64OK163
macos-release-x86_64OK295
macos-oldrel-arm64OK183
macos-oldrel-x86_64OK443
windows-develOK117
windows-releaseOK122
windows-oldrelOK109
wasm-releaseOK109

Exports:backTranslatefindGenesfindOrfsfindrRNAgff2fastagregexpriupac2regexlorfsmsa2matmsalignmsaTrimmuscleorfLengthorfSignaturereadFastareadFastqreadGFFregex2iupacreverseComplementtranslatewriteFastawriteFastqwriteGFF

Dependencies:clidata.tabledplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6Rcpprlangstringistringrtibbletidyselectutf8vctrswithr