Package: HTqPCR 1.59.0
Heidi Dvinge
HTqPCR: Automated analysis of high-throughput qPCR data
Analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).
Authors:
HTqPCR_1.59.0.tar.gz
HTqPCR_1.59.0.zip(r-4.5)HTqPCR_1.59.0.zip(r-4.4)HTqPCR_1.59.0.zip(r-4.3)
HTqPCR_1.59.0.tgz(r-4.4-any)HTqPCR_1.59.0.tgz(r-4.3-any)
HTqPCR_1.59.0.tar.gz(r-4.5-noble)HTqPCR_1.59.0.tar.gz(r-4.4-noble)
HTqPCR_1.59.0.tgz(r-4.4-emscripten)HTqPCR_1.59.0.tgz(r-4.3-emscripten)
HTqPCR.pdf |HTqPCR.html✨
HTqPCR/json (API)
NEWS
# Install 'HTqPCR' in R: |
install.packages('HTqPCR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:HTqPCR-1.59.0(bioc 3.20)HTqPCR-1.58.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:5d072c95db
Exports:changeCtLayoutclusterCtexprsexprs<-featureCategoryfeatureCategory<-featureClassfeatureClass<-featureNamesfeatureNames<-featurePosfeaturePos<-featureTypefeatureType<-filterCategoryfilterCtDataflagflag<-getCtgetCtHistoryheatmapSiglimmaCtDatamannwhitneyCtDatan.samplesn.wellsnormalizeCtDataplotCtArrayplotCtBoxesplotCtCardplotCtCategoryplotCtCorplotCtDensityplotCtHeatmapplotCtHistogramplotCtLinesplotCtOverviewplotCtPairsplotCtPCAplotCtRepsplotCtRQplotCtScatterplotCtSignificanceplotCtVariationplotCVBoxesreadCtDatasampleNamessampleNames<-setCategorysetCt<-setCtHistory<-showsummaryttestCtData
Dependencies:affyaffyioBiobaseBiocGenericsBiocManagerbitopscaToolsgplotsgtoolsKernSmoothlimmapreprocessCoreRColorBrewerstatmodzlibbioc