Package: seq2R 2.0.1

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.zip(r-4.5)seq2R_2.0.1.zip(r-4.4)seq2R_2.0.1.zip(r-4.3)
seq2R_2.0.1.tgz(r-4.4-x86_64)seq2R_2.0.1.tgz(r-4.4-arm64)seq2R_2.0.1.tgz(r-4.3-x86_64)seq2R_2.0.1.tgz(r-4.3-arm64)
seq2R_2.0.1.tar.gz(r-4.5-noble)seq2R_2.0.1.tar.gz(r-4.4-noble)
seq2R.pdf |seq2R.html
seq2R/json (API)

# Install 'seq2R' in R:
install.packages('seq2R', repos = c('https://noramvillanueva.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/noramvillanueva/seq2r/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

2.70 score 10 scripts 97 downloads 7 exports 10 dependencies

Last updated 22 days agofrom:1d21c297bf. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 04 2024
R-4.5-win-x86_64NOTEOct 04 2024
R-4.5-linux-x86_64NOTEOct 04 2024
R-4.4-win-x86_64NOTEOct 04 2024
R-4.4-mac-x86_64NOTEOct 04 2024
R-4.4-mac-aarch64NOTEOct 04 2024
R-4.3-win-x86_64NOTEOct 04 2024
R-4.3-mac-x86_64NOTEOct 04 2024
R-4.3-mac-aarch64NOTEOct 04 2024

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

Dependencies:ade4latticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp