<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Cross-sectional genomic perspective of epidemic waves of SARS-CoV-2: A pan India study"^^ . "Background\r\nCOVID-19 has posed unforeseen circumstances and throttled major economies worldwide. India has witnessed two waves affecting around 31 million people representing 16% of the cases globally. To date, the epidemic waves have not been comprehensively investigated to understand pandemic progress in India.\r\n\r\nObjective\r\nHere, we aim for pan Indian cross-sectional evolutionary analysis since inception of SARS-CoV-2.\r\n\r\nMethods\r\nHigh quality genomes, along with their collection date till 26th July 2021, were downloaded. Whole genome-based phylogeny was obtained. Further, the mutational analysis was performed using SARS-CoV-2 first reported from Wuhan (NC_045512.2) as reference.\r\n\r\nResults\r\nBased on reported cases and mutation rates, we could divide the Indian epidemic into seven phases. The average mutation rate for the pre-first wave was <11, which elevated to 17 in the first wave and doubled in the second wave (∼34). In accordance with mutation rate, VOCs and VOIs started appearing in the first wave (1.5%), which dominated the second (∼96%) and post-second wave (100%). Nation-wide mutational analysis depicted >0.5 million mutation events with four major mutations in >19,300 genomes, including two mutations in coding (spike (D614G), and NSP 12b (P314L) of rdrp), one silent mutation (NSP3 F106F) and one extragenic mutation (5′ UTR 241).\r\n\r\nConclusion\r\nWhole genome-based phylogeny could demarcate post-first wave isolates from previous ones by point of diversification leading to incidences of VOCs and VOIs in India. Such analysis is crucial in the timely management of pandemic."^^ . "2022-01-15" . "308" . . "Elsevier Science"^^ . . . "Virus Research"^^ . . . . . . . . . . . "Kanika "^^ . "Bansal "^^ . "Kanika Bansal "^^ . . "Sanjeet "^^ . "Kumar "^^ . "Sanjeet Kumar "^^ . . . . . "HTML Summary of #2983 \n\nCross-sectional genomic perspective of epidemic waves of SARS-CoV-2: A pan India study\n\n" . "text/html" . . . "QR Microbiology"@en . .