Author: Christina J. Castro; Rachel L. Marine; Edward Ramos; Terry Fei Fan Ng
Title: The effect of variant interference on de novo assembly for viral deep sequencing Document date: 2019_10_22
ID: d5ghy39g_13
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/815480 doi: bioRxiv preprint Experiment 1: Analyzing simulated reads from variants using different de novo assembly programs 298 299 The simulated datasets containing reads from two variant genomes with nucleotide pairwise identity 300 ranging from 75%-99.6% were analyzed using 10 different genome assembly programs. Table S6 ]. The.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/815480 doi: bioRxiv preprint Experiment 1: Analyzing simulated reads from variants using different de novo assembly programs 298 299 The simulated datasets containing reads from two variant genomes with nucleotide pairwise identity 300 ranging from 75%-99.6% were analyzed using 10 different genome assembly programs. Table S6 ]. The simulation settings for the reads were single-end reads, 250 nt read length, and 305 50X coverage. A total of 2,470 assemblies (247 datasets per genome X 10 assemblers) were analyzed 306 [Supplement Figure S1a ]. Cap3, and Geneious. The length of the longest contig produced from each assembly and the performance 353 All rights reserved. No reuse allowed without permission.
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