Package: tomoda 1.23.0

Wendao Liu

tomoda: Tomo-seq data analysis

This package provides many easy-to-use methods to analyze and visualize tomo-seq data. The tomo-seq technique is based on cryosectioning of tissue and performing RNA-seq on consecutive sections. (Reference: Kruse F, Junker JP, van Oudenaarden A, Bakkers J. Tomo-seq: A method to obtain genome-wide expression data with spatial resolution. Methods Cell Biol. 2016;135:299-307. doi:10.1016/bs.mcb.2016.01.006) The main purpose of the package is to find zones with similar transcriptional profiles and spatially expressed genes in a tomo-seq sample. Several visulization functions are available to create easy-to-modify plots.

Authors:Wendao Liu [aut, cre]

tomoda_1.23.0.tar.gz
tomoda_1.23.0.zip(r-4.7)tomoda_1.23.0.zip(r-4.6)tomoda_1.23.0.zip(r-4.5)
tomoda_1.23.0.tgz(r-4.6-any)tomoda_1.23.0.tgz(r-4.5-any)
tomoda_1.23.0.tar.gz(r-4.7-any)tomoda_1.23.0.tar.gz(r-4.6-any)
tomoda_1.23.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tomoda/json (API)
NEWS

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

Bug tracker:https://github.com/liuwd15/tomoda/issues

Datasets:
  • zh.data - A raw read count matrix of zebrafish injured heart.

On BioConductor:tomoda-1.23.0(bioc 3.24)tomoda-1.22.0(bioc 3.23)

geneexpressionsequencingrnaseqtranscriptomicsspatialclusteringvisualization

4.00 score 3 scripts 326 downloads 18 exports 55 dependencies

Last updated from:96ce4ba71e. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE180
linux-devel-x86_64OK398
source / vignettesOK255
linux-release-x86_64OK418
macos-release-arm64OK241
macos-oldrel-arm64OK252
windows-develOK309
windows-releaseOK302
windows-oldrelOK396
wasm-releaseOK123

Exports:corHeatmapcreateTomoembedPlotexpHeatmapfindPeakfindPeakGenegeneCorHeatmapgeneEmbedPlothierarchClustkmeansClustlinePlotnormalizeTomorunPCArunTSNErunUMAPscaleTomotomoMatrixtomoSummarizedExperiment

Dependencies:abindaskpassBiobaseBiocGenericsclicpp11DelayedArrayfarvergenericsGenomicRangesggplot2ggrepelgluegtablehereIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsopensslplyrpngR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreshape2reticulaterlangrprojrootRSpectraRtsneS4ArraysS4VectorsS7scalesSeqinfoSparseArraystringistringrSummarizedExperimentsysumapvctrsviridisLitewithrXVector

tomoda for tomo-seq data analysis

Rendered fromtomoda.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2020-10-13
Started: 2020-09-14