Package: spgs
Type: Package
Encoding: latin1
Title: Statistical Patterns in Genomic Sequences
Version: 1.0-3
Date: 2019-12-06
Authors@R: c(person("Andrew", "Hart", role = c("aut", "cre"), email = "ahart@dim.uchile.cl"),
  person("Servet", "Martnez", role = "aut"),
  person("Universidad de Chile", role = "cph"),
  person("INRIA-Chile", role = "cph"))
Author: Andrew Hart [aut, cre],
  Servet Martnez [aut],
  Universidad de Chile [cph],
  INRIA-Chile [cph]
Maintainer: Andrew Hart <ahart@dim.uchile.cl>
Copyright: Universidad de Chile, INRIA-Chile
Depends: R (>= 3.0)
Imports: graphics, stats
Enhances: seqinr
Description: A collection of statistical hypothesis tests and other 
	techniques for identifying certain spatial relationships/phenomena in 
	DNA sequences. In particular, it provides tests and graphical methods for determining 
	whether or not DNA sequences comply with Chargaff's second parity rule 
	or exhibit purine-pyrimidine parity. In addition, there are functions for 
	efficiently simulating discrete state space Markov chains and testing 
	arbitrary symbolic sequences of symbols for the presence of first-order 
	Markovianness.
	Also, it has functions for counting words/k-mers (and cylinder patterns) in 
	arbitrary symbolic sequences. Functions which take a DNA sequence as input 
	can handle sequences stored as SeqFastadna objects from the 'seqinr' package.
License: GPL (>= 2)
NeedsCompilation: yes
Classification/MSC: 62F03, 62G10, 62M07, 62P10, 92D20
Packaged: 2019-12-06 18:11:01 UTC; ahart
Repository: CRAN
Date/Publication: 2019-12-06 19:20:02 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-15 20:24:41 UTC; unix
Archs: spgs.so.dSYM
