{
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  "Package": "tilingArray",
  "Version": "1.90.0",
  "Title": "Transcript mapping with high-density oligonucleotide tiling\narrays",
  "Author": "Wolfgang Huber, Zhenyu Xu, Joern Toedling with contributions\nfrom Matt Ritchie",
  "Maintainer": "Zhenyu Xu <zxu@embl.de>",
  "Description": "The package provides functionality that can be useful for\nthe analysis of high-density tiling microarray data (such as\nfrom Affymetrix genechips) for measuring transcript abundance\nand architecture. The main functionalities of the package are:\n1. the class 'segmentation' for representing partitionings of a\nlinear series of data; 2. the function 'segment' for fitting\npiecewise constant models using a dynamic programming algorithm\nthat is both fast and exact; 3. the function 'confint' for\ncalculating confidence intervals using the strucchange package;\n4. the function 'plotAlongChrom' for generating pretty plots;\n5. the function 'normalizeByReference' for probe-sequence\ndependent response adjustment from a (set of) reference\nhybridizations.",
  "Reference": "Huber W, Toedling J, Steinmetz, L. Transcript mapping with\nhigh-density oligonucleotide tiling arrays. Bioinformatics 22,\n1963-1970 (2006).",
  "License": "Artistic-2.0",
  "Collate": "AllClasses.R AllGenerics.R normalizeByReference.R posMin.R\notherStrand.R qcPlots.R comparisonPlot.R plotAlongChromLegend.R\nreadCel2eSet.R confint.segmentation.R plotAlongChrom.R\nsampleStep.R costMatrix.R plotPenLL.R segChrom.R findsegments.R\ngrid.image.R raster.image.R plotSegmentationDots.R\nplotSegmentationHeatmap.R PMindex.R methods-segmentation.R\nzzz.R",
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  "biocViews": "Microarray, OneChannel, Preprocessing, Visualization",
  "Config/pak/sysreqs": "libpng-dev libxml2-dev libssl-dev zlib1g-dev",
  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:30:59 UTC",
  "RemoteUrl": "https://github.com/bioc/tilingArray",
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    "User": "root"
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      "title": "tilingArray package overview",
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