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  "Authors@R": "c(person(\"Abhik \", \"Sarkar\", role = c(\"aut\",\"cre\"), email = \"abhik.jenkins.sarkar@gmail.com\"),\nperson(\"Dwijesh Chandra\", \"Mishra\", role = \"aut\", email = \"dwij.mishra@gmail.com\"),\nperson(\" Dipro\", \"Sinha\", role = \"aut\", email = \"diprosinha@gmail.com\"),\nperson(\"Saikath\", \"Das\", role = \"aut\", email = \"saikathdas007@gmail.com\"),\nperson(\"Md\", \"Yeasin\", role = \"aut\", email = \"yeasin.iasri@gmail.com\"))",
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  "Description": "Selective sweep is a biological phenomenon in which\ngenetic variation between neighboring beneficial mutant alleles\nis swept away due to the effect of genetic hitchhiking.\nDetection of selective sweep is not well acquainted as well as\nit is a laborious job. This package is a user friendly approach\nfor detecting selective sweep in genomic regions. It uses a\nRandom Forest based machine learning approach to predict\nselective sweep from VCF files as an input. Input of this\nfunction, train data and new data, can be computed using the\nproject <https://github.com/AbhikSarkar1999/SweepDiscovery> in\n'GitHub'. This package has been developed by using the concept\nof Pavlidis and Alachiotis (2017)\n<doi:10.1186/s40709-017-0064-0>.",
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