{ "_id": "6ac67f61ca1b382b34ef4025", "Package": "HetSeq", "Title": "Identifying Modulators of Cellular Responses Leveraging\nIntercellular Heterogeneity", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Kevin\", \"Berg\", , \"Kevin.Berg@informatik.uni-regensburg.de\", role = c(\"aut\", \"cre\")),\nperson(\"Florian\", \"Erhard\", , \"Florian.Erhard@informatik.uni-regensburg.de\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3574-6983\")),\nperson(\"Lygeri\", \"Sakellaridi\", , \"Lygeri.Sakellaridi@informatik.uni-regensburg.de\", role = \"aut\")\n)", "Author": "Kevin Berg [aut, cre], Florian Erhard [aut]\n(), Lygeri Sakellaridi\n[aut]", "Maintainer": "Kevin Berg ", "Description": "Cellular responses to perturbations are highly\nheterogeneous and depend largely on the initial state of cells.\nConnecting post-perturbation cells via cellular trajectories to\nuntreated cells (e.g. by leveraging metabolic labeling\ninformation) enables exploitation of intercellular\nheterogeneity as a combined knock-down and overexpression\nscreen to identify pathway modulators, termed Heterogeneity-seq\n(see 'Berg et al' ). This\npackage contains functions to generate cellular trajectories\nbased on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation\nof RNA for metabolic labelling sequencing) time courses,\nfunctions to identify pathway modulators and to visualize the\nresults.", "License": "Apache License (>= 2)", "URL": "https://github.com/erhard-lab/HetSeq", "BugReports": "https://github.com/erhard-lab/HetSeq/issues", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libfribidi-dev libglpk-dev make\nlibharfbuzz-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev\nlibuv1-dev libwebp-dev libxml2-dev libssl-dev python3\nzlib1g-dev", "Repository": "https://erhard-lab.r-universe.dev", "Date/Publication": "2026-10-07 11:29:49 UTC", "RemoteUrl": "https://github.com/erhard-lab/hetseq", "RemoteRef": "HEAD", "RemoteSha": "41ea419e200e9670de4645ed322ef62855afa368", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-07 17:14:55 UTC", 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