Author: Marie Hoffmann; Michael T. Monaghan; Knut Reinert
Title: PriSeT: Efficient De Novo Primer Discovery Document date: 2020_4_7
ID: 3b3hv53b_84_1
Snippet: or Figure 6 . Table 9 . Runtime classes and space occupation module-wise with N as the total library size, n the number of references per library, κmax the largest k-mer length, ω the window width, and τ the amplicon length. . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.06.027961 doi: bioRxiv prepr.....
Document: or Figure 6 . Table 9 . Runtime classes and space occupation module-wise with N as the total library size, n the number of references per library, κmax the largest k-mer length, ω the window width, and τ the amplicon length. . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.06.027961 doi: bioRxiv preprint because the variant is either not sequenced yet or the amplicon has a critical sequence proximity to other viruses. For the de novo computation for SARS-CoV-2 submitted online BLAST queries to assure that we access all sequences currently available to GenBank. For a better workflow this feature can be implemented into PriSeT via the NCBI's Entrez Programming Utilities.
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