Package: metaCluster 0.1.1

metaCluster: Metagenomic Clustering

Clustering in metagenomics is the process of grouping of microbial contigs in species specific bins. This package contains functions that extract genomic features from metagenome data, find the number of clusters for that given data and find the best clustering algorithm for binning.

Authors:Dipro Sinha [aut, cre], Sayanti Guha Majumdar [aut], Anu Sharma [aut], Dwijesh Chandra Mishra [aut], Md Yeasin [aut]

metaCluster_0.1.1.tar.gz
metaCluster_0.1.1.zip(r-4.5)metaCluster_0.1.1.zip(r-4.4)metaCluster_0.1.1.zip(r-4.3)
metaCluster_0.1.1.tgz(r-4.4-any)metaCluster_0.1.1.tgz(r-4.3-any)
metaCluster_0.1.1.tar.gz(r-4.5-noble)metaCluster_0.1.1.tar.gz(r-4.4-noble)
metaCluster_0.1.1.tgz(r-4.4-emscripten)metaCluster_0.1.1.tgz(r-4.3-emscripten)
metaCluster.pdf |metaCluster.html
metaCluster/json (API)

# Install 'metaCluster' in R:
install.packages('metaCluster', repos = c('https://diprosinha.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 181 downloads 4 exports 133 dependencies

Last updated 5 months agofrom:85de6d05bb. Checks:OK: 6 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:clust.suiteGC.contentoligo.freqopt.clust.num

Dependencies:abindade4askpassbackportsbase64encBiocGenericsBiostringsbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crayoncrosstalkcurldbscandendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpixmappkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownrstatixS4Vectorssassscalesscatterplot3dsegmentedseqinrspSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisviridisLitewithrxfunXVectoryamlzlibbioc