Package: spgs 1.0-4

Andrew Hart
spgs: Statistical Patterns in Genomic Sequences
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.
Authors:
spgs_1.0-4.tar.gz
spgs_1.0-4.tar.gz(r-4.7-arm64)spgs_1.0-4.tar.gz(r-4.7-x86_64)spgs_1.0-4.tar.gz(r-4.6-arm64)spgs_1.0-4.tar.gz(r-4.6-x86_64)
spgs_1.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spgs/json (API)
| # Install 'spgs' in R: |
| install.packages('spgs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- nanoarchaeum - DNA sequence for the Nanoarchaeum equitans Kin4-M Chromosome
- pieris - DNA sequence for the Pieris Rapae Granulovirus Genome
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:987257510f. Checks:4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 137 | ||
| linux-devel-x86_64 | NOTE | 122 | ||
| source / vignettes | OK | 192 | ||
| linux-release-arm64 | NOTE | 121 | ||
| linux-release-x86_64 | NOTE | 112 | ||
| wasm-release | OK | 146 |
Exports:ag.testagct.testarray2vectorchargaff.gibbs.testchargaff0.testchargaff1.testchargaff2.testchisq.unif.testcomplementcylinder.countsdiffsign.testdiid.disturbancediid.testdisambiguateestimateMarkovChainks.unif.testlb.testmarkov.disturbancemarkov.testoligoCorroligoProfilepair.countsquadruple.countsrank.testrcspr2matreverseComplementrstochmatrstochvecsimulateMarkovChaintable2vectortriple.countsturningpoint.test
Dependencies: