{ "_id": "6a1ff6e6b401979e73443622", "Package": "AmpliconDuo", "Type": "Package", "Title": "Statistical Analysis of Amplicon Data of the Same Sample to\nIdentify Artefacts", "Authors@R": "c(person(given = \"Anja\", family = \"Lange\", role =\nc(\"aut\", \"cre\"), email = \"anja.lange@uni-due.de\"),\nperson(given = \"Daniel\", family = \"Hoffmann\", role = \"aut\", email\n= \"daniel.hoffmann@uni-due.de\"))", "Version": "1.1.1", "Date": "2020-05-22", "Author": "Anja Lange [aut, cre], Daniel Hoffmann [aut]", "Maintainer": "Anja Lange ", "Description": "Increasingly powerful techniques for high-throughput\nsequencing open the possibility to comprehensively characterize\nmicrobial communities, including rare species. However, a still\nunresolved issue are the substantial error rates in the\nexperimental process generating these sequences. To overcome\nthese limitations we propose an approach, where each sample is\nsplit and the same amplification and sequencing protocol is\napplied to both halves. This procedure should allow to detect\nlikely PCR and sequencing artifacts, and true rare species by\ncomparison of the results of both parts. The AmpliconDuo\npackage, whereas amplicon duo from here on refers to the two\namplicon data sets of a split sample, is intended to help\ninterpret the obtained read frequency distribution across split\nsamples, and to filter the false positive reads.", "License": "GPL (>= 3)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 09:38:04 UTC", "User": "root" }, "Repository": "https://anla8000.r-universe.dev", "Date/Publication": "2020-05-25 21:20:02 UTC", "RemoteUrl": "https://github.com/cran/AmpliconDuo", "RemoteRef": "HEAD", "RemoteSha": "62025005eb0b7d6cc9fd6ede126af7d4eaabdfa5", "MD5sum": "aa432d038d8bcad796aad7608519ce58", "_user": "anla8000", "_type": "src", "_file": "AmpliconDuo_1.1.1.tar.gz", "_fileid": "0b286cb6402937fe319e33d01ca7a4a39faedd75a96e39e68b86efa8a23af7db", "_filesize": 722388, "_sha256": "0b286cb6402937fe319e33d01ca7a4a39faedd75a96e39e68b86efa8a23af7db", "_created": "2026-06-03T09:38:04.000Z", "_published": "2026-06-03T09:41:58.902Z", "_distro": "noble", 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