The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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'.

Version: 2.0.1
Depends: R (≥ 2.15.1)
Imports: seqinr
Published: 2024-09-30
DOI: 10.32614/CRAN.package.seq2R
Author: Nora M. Villanueva ORCID iD [aut, cre], Marta Sestelo ORCID iD [aut], Alan Miller [ctb] (FORTRAN code lsq.f90: weighted least-squares module)
Maintainer: Nora M. Villanueva <nmvillanueva at uvigo.gal>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
CRAN checks: seq2R results

Documentation:

Reference manual: seq2R.pdf

Downloads:

Package source: seq2R_2.0.1.tar.gz
Windows binaries: r-devel: seq2R_2.0.1.zip, r-release: seq2R_2.0.1.zip, r-oldrel: seq2R_2.0.1.zip
macOS binaries: r-release (arm64): seq2R_2.0.1.tgz, r-oldrel (arm64): seq2R_2.0.1.tgz, r-release (x86_64): seq2R_2.0.1.tgz, r-oldrel (x86_64): seq2R_2.0.1.tgz
Old sources: seq2R archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=seq2R to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.