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:
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-4.5-any)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')) |
- metafeatures - Metagenomic data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:85de6d05bb. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-win | OK | Jan 29 2025 |
| R-4.5-mac | OK | Jan 29 2025 |
| R-4.5-linux | OK | Jan 29 2025 |
| R-4.4-win | OK | Jan 29 2025 |
| R-4.4-mac | OK | Jan 29 2025 |
| R-4.3-win | OK | Dec 30 2024 |
| R-4.3-mac | OK | Dec 30 2024 |
Exports:clust.suiteGC.contentoligo.freqopt.clust.num
Dependencies:abindade4askpassbackportsbase64encBiocGenericsBiostringsbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crayoncrosstalkcurldbscandendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpixmappkgconfigplyrpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownrstatixS4Vectorssassscalesscatterplot3dsegmentedseqinrspSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisviridisLitewithrxfunXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Determination of Suitable Clustering Algorithm for Metagenomics Data | clust.suite |
| Calculation of GC content | GC.content |
| Metagenomic data | metafeatures |
| Oligonucleotide Frequency | oligo.freq |
| Finding Optimum Number of Cluster for Metagenomics Data | opt.clust.num |
