{ "_id": "6a1aee891d7bb097a09f5a20", "Package": "tomoda", "Title": "Tomo-seq data analysis", "Version": "1.23.0", "Authors@R": "person(given = \"Wendao\",\nfamily = \"Liu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"liuwd15@tsinghua.org.cn\",\ncomment = c(ORCID = \"0000-0002-5124-9338\"))", "Description": "This package provides many easy-to-use methods to analyze\nand visualize tomo-seq data. The tomo-seq technique is based on\ncryosectioning of tissue and performing RNA-seq on consecutive\nsections. (Reference: Kruse F, Junker JP, van Oudenaarden A,\nBakkers J. Tomo-seq: A method to obtain genome-wide expression\ndata with spatial resolution. Methods Cell Biol.\n2016;135:299-307. doi:10.1016/bs.mcb.2016.01.006) The main\npurpose of the package is to find zones with similar\ntranscriptional profiles and spatially expressed genes in a\ntomo-seq sample. Several visulization functions are available\nto create easy-to-modify plots.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "URL": "https://github.com/liuwd15/tomoda", "BugReports": "https://github.com/liuwd15/tomoda/issues", "biocViews": "GeneExpression, Sequencing, RNASeq, Transcriptomics,\nSpatial, Clustering, Visualization", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev libpng-dev libssl-dev python3 zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:53:56 UTC", "RemoteUrl": "https://github.com/bioc/tomoda", "RemoteRef": "HEAD", "RemoteSha": "96ce4ba71e98ef7c1fc2f4122030562b44c1874f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-30 09:41:22 UTC", "User": "root" }, "Author": "Wendao Liu [aut, cre] (ORCID: )", "Maintainer": "Wendao Liu ", "MD5sum": "90c91d04aa2b48f54dc4041cd999ab72", "_user": "bioc", "_type": "src", "_file": 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