Package: SIPmg 2.3

Pranav Sampara

SIPmg: Statistical Analysis to Identify Isotope Incorporating metagenomic features

Statistical analysis as part of a quantitative stable isotope probing (SIP) metagenomics study to identify isotope incorporating metagenomic features. Helpful reading and a vignette in bookdown format is provided on the package site <https://zielslab.github.io/SIPmg.github.io/>.

Authors:Pranav Sampara [aut, cre], Kate Waring [ctb], Ryan Ziels [aut], Alma Garcia Roche [aut]

SIPmg_2.3.tar.gz
SIPmg_2.3.zip(r-4.5)SIPmg_2.3.zip(r-4.4)SIPmg_2.3.zip(r-4.3)
SIPmg_2.3.tgz(r-4.4-any)SIPmg_2.3.tgz(r-4.3-any)
SIPmg_2.3.tar.gz(r-4.5-noble)SIPmg_2.3.tar.gz(r-4.4-noble)
SIPmg_2.3.tgz(r-4.4-emscripten)SIPmg_2.3.tgz(r-4.3-emscripten)
SIPmg.pdf |SIPmg.html
SIPmg/json (API)

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

Peer review:

Bug tracker:https://github.com/zielslab/sipmg/issues

Datasets:

On CRAN:

3.78 score 9 scripts 222 downloads 12 exports 127 dependencies

Last updated 4 months agofrom:173d42ba75. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 13 2024
R-4.5-winWARNINGOct 13 2024
R-4.5-linuxWARNINGOct 13 2024
R-4.4-winWARNINGOct 13 2024
R-4.4-macWARNINGOct 13 2024
R-4.3-winWARNINGOct 13 2024
R-4.3-macWARNINGOct 13 2024

Exports:coverage_normalizationDESeq2_l2fcfilter_naHRSIPincorporators_taxonomyphylo.tableqSIP_atom_excess_MAGsqSIP_bootstrap_fcrsample.tablescale_features_lmscale_features_rlmtax.table

Dependencies:abindade4apeaskpassbackportsBHBiobaseBiocGenericsBiocParallelbiomformatBiostringsbootbroomcarcarDatacliclustercodetoolscoenoclinercolorspacecorrplotcowplotcpp11crayoncurldata.tableDelayedArrayDerivDESeq2digestdoBydplyrfansifarverforeachformatRFormulafutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggpubrggrepelggsciggsignifgluegridExtragtableHTSSIPhttrigraphIRangesisobanditeratorsjsonlitelabelinglambda.rlatticelazyevallifecyclelme4locfitmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmgcvmicrobenchmarkmimeminqamodelrmulttestmunsellnlmenloptrnnetnumDerivopensslpbkrtestpermutephyloseqpillarpixmappkgconfigplyrpolynompurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rhdf5rhdf5filtersRhdf5librlangrstatixS4ArraysS4VectorsscalessnowspSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsutf8vctrsveganviridisLitewithrXVectorzlibbioc

Readme and manuals

Help Manual

Help pageTopics
Atom fraction excess tableatomX
Calculate atom fraction excesscalc_atom_excess_MAGs
Calculate Mheavymaxcalc_Mheavymax_MAGs
Normalize feature coverages to estimate absolute abundance or relative coverage using MAG/contig coverage values with or without multiplying total DNA concentration of the fractioncoverage_normalization
Calculating log2 fold change for HTS-SIP data.DESeq2_l2fc
Bootstrapped atom fraction excess tabledf_atomX_boot
Coverage tablef_tibble
Filter l2fc tablefilter_l2fc
Remove MAGs with NAs from atomX tablefilter_na
Fractions tablefractions
GC_content tableGC_content
(MW-)HR-SIP analysisHRSIP
Isotope incorporator list with GTDB taxonomyincorporators_taxonomy
MAG abundance table in phyloseq formatmag.table
Master phyloseq objectphylo.qSIP
Master phyloseq object using the MAG phyloseq objectsphylo.table
Reformat a phyloseq object of qSIP_atom_excess_MAGs analysisqSIP_atom_excess_format_MAGs
Calculate atom fraction excess using q-SIP methodqSIP_atom_excess_MAGs
Calculate adjusted bootstrap CI after for multiple testing for atom fraction excess using q-SIP method. Multiple hypothesis tests are corrected byqSIP_bootstrap_fcr
phyloseq-styled sample tablesample.table
Fractions table in phyloseq formatsamples.object
Scale feature coverage values to estimate their absolute abundancescale_features_lm
Scale feature coverage values to estimate their absolute abundancescale_features_rlm
Sequins dilution tableseq_dil
Sequins tablesequins
phyloseq taxa table from GTDB taxonomy inputtax.table
Taxonomy tabletaxonomy_tibble
Taxonomy table in phyloseq formattaxonomy.object