Package: rKOMICS 1.2
Manon Geerts
rKOMICS: Minicircle Sequence Cluster (MSC) Analyses
It establishes a critical framework to manipulate, explore and extract biologically relevant information from mitochondrial minicircle assemblies in tens to hundreds of samples simultaneously and efficiently. This should facilitate research that aims to develop new molecular markers for identifying species-specific minicircles, or to study the ancestry of parasites for complementary insights into their evolutionary history.
Authors:
rKOMICS_1.2.tar.gz
rKOMICS_1.2.zip(r-4.5)rKOMICS_1.2.zip(r-4.4)rKOMICS_1.2.zip(r-4.3)
rKOMICS_1.2.tgz(r-4.4-any)rKOMICS_1.2.tgz(r-4.3-any)
rKOMICS_1.2.tar.gz(r-4.5-noble)rKOMICS_1.2.tar.gz(r-4.4-noble)
rKOMICS_1.2.tgz(r-4.4-emscripten)rKOMICS_1.2.tgz(r-4.3-emscripten)
rKOMICS.pdf |rKOMICS.html✨
rKOMICS/json (API)
# Install 'rKOMICS' in R: |
install.packages('rKOMICS', repos = c('https://geertsmanon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/geertsmanon/rkomics/issues
Last updated 3 years agofrom:a51234afd2. Checks:OK: 1 WARNING: 1 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | NOTE | Nov 10 2024 |
R-4.5-linux | WARNING | Nov 10 2024 |
R-4.4-win | NOTE | Nov 10 2024 |
R-4.4-mac | NOTE | Nov 10 2024 |
R-4.3-win | NOTE | Nov 10 2024 |
R-4.3-mac | NOTE | Nov 10 2024 |
Exports:%>%msc.depthmsc.heatmapmsc.lengthmsc.matrixmsc.pcamsc.qualitymsc.richnessmsc.seqsmsc.similaritymsc.subsetmsc.ucpreprocessread.uc
Dependencies:abindapebackportsbase64encBiocGenericsbootbroombslibcachemcarcarDatacirclizecliclueclustercodetoolscolorspaceComplexHeatmapcorrplotcowplotcpp11crayoncrosstalkdendextendDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeforeachFormulafsgenericsGetoptLongggplot2ggpubrggrepelggsciggsignifGlobalOptionsgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpngpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rjsonrlangrmarkdownrstatixS4Vectorssassscalesscatterplot3dshapeSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example dataset | exData |
Example cluster matrices | matrices |
Check the read depth of assembled minicircles | msc.depth |
Visualization of cluster matrices | msc.heatmap |
Length of minicircles | msc.length |
Build cluster matrix | msc.matrix |
Prinicple Component Analysis based on MSC | msc.pca |
Check the quality of the assembly | msc.quality |
Minicircle Sequence Cluster richness | msc.richness |
Retrieve sequences | msc.seqs |
Minicircle Sequence Cluster similarity | msc.similarity |
Specific MSC | msc.subset |
Cluster Analyses | msc.uc |
Filtering of minicircle sequences | preprocess |
Read in uc files | read.uc |
Minicircle Sequence Cluster (MSC) Analyses | rKOMICS |