seq2R: Simple method to detect compositional changes in genomic
This software is useful for loading .fasta or .gbk files,
and for retrieving sequences from GenBank dataset. 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.
||R (≥ 2.15.1), seqinr|
||Nora M. Villanueva, Marta Sestelo and Javier Roca-Pardinas|
||Nora M. Villanueva <nmvillanueva at uvigo.es>|
||seq2R citation info |