<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Statistical Patterns in Genomic Sequences</dc:title>
  <dc:title>R package spgs version 1.0-4</dc:title>
  <dc:subject>Classification/MSC: 62F03, 62G10, 62M07, 62P10, 92D20</dc:subject>
  <dc: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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0)</dc:relation>
  <dc:relation>Imports: graphics, stats</dc:relation>
  <dc:relation>Enhances: seqinr</dc:relation>
  <dc:creator>Andrew Hart &lt;ahart@dim.uchile.cl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Andrew Hart [aut, cre],
  Servet Martínez [aut],
  Universidad de Chile [cph],
  INRIA-Chile [cph]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-10-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=spgs</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.spgs</dc:identifier>
</oai_dc:dc>
