Package: seq2R 2.0.1

Nora M. Villanueva

seq2R: Simple Method to Detect Compositional Changes in Genomic Sequences

This software is useful for loading '.fasta' or '.gbk' files, and for retrieving sequences from 'GenBank' dataset <https://www.ncbi.nlm.nih.gov/genbank/>. This package allows to detect differences or asymmetries based on nucleotide composition by using local linear kernel smoothers. Also, it is possible to draw inference about critical points (i. e. maximum or minimum points) related with the derivative curves. Additionally, bootstrap methods have been used for estimating confidence intervals and speed computational techniques (binning techniques) have been implemented in 'seq2R'.

Authors:Nora M. Villanueva [aut, cre], Marta Sestelo [aut], Alan Miller [ctb]

seq2R_2.0.1.tar.gz
seq2R_2.0.1.tar.gz(r-4.7-arm64)seq2R_2.0.1.tar.gz(r-4.7-x86_64)seq2R_2.0.1.tar.gz(r-4.6-arm64)seq2R_2.0.1.tar.gz(r-4.6-x86_64)
seq2R_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
seq2R/json (API)

# Install 'seq2R' in R:
install.packages('seq2R', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

1.04 score 11 scripts 162 downloads 7 exports 10 dependencies

Last updated from:60532b8dc3. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK102
source / vignettesOK182
linux-release-arm64OK145
linux-release-x86_64OK116
wasm-releaseOK102

Exports:criticalfind.pointsplot.change.pointsprint.change.pointsread.allread.genbanktransform

Dependencies:ade4latticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp