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
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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'))
Datasets:

On CRAN:

Conda:

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 152 downloads 4 exports 135 dependencies

Last updated 10 months agofrom:85de6d05bb. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winOKMar 30 2025
R-4.5-macOKMar 30 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKMar 30 2025
R-4.4-macOKMar 30 2025
R-4.4-linuxOKMar 30 2025
R-4.3-winOKMar 30 2025
R-4.3-macOKMar 30 2025

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

Dependencies:abindade4askpassbackportsbase64encBiocGenericsBiostringsbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crayoncrosstalkcurldbscandendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpixmappkgconfigplyrpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownrstatixS4Vectorssassscalesscatterplot3dsegmentedseqinrspSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisviridisLitewithrxfunXVectoryaml