seq2R: Simple Method to Detect Compositional Changes in GenomicSequences
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 [aut, cre], Marta Sestelo [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 |
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