Author: Jiao Chen; Jiayu Shang; Jianrong Wang; Yanni Sun
Title: A binning tool to reconstruct viral haplotypes from assembled contigs Document date: 2019_7_16
ID: 2basllfv_62
Snippet: Our experimental results show that VirBin works better for longer contigs with higher coverage of the underlying genomes. When the genome coverage by the contigs is below 70%, the performance of VirBin deteriorates because it becomes harder to estimate the correct number of haplotypes. In addition, the empirical experience shows that it is difficult to classify two viral strains when the abundance difference between them is below 3%. Thus, althou.....
Document: Our experimental results show that VirBin works better for longer contigs with higher coverage of the underlying genomes. When the genome coverage by the contigs is below 70%, the performance of VirBin deteriorates because it becomes harder to estimate the correct number of haplotypes. In addition, the empirical experience shows that it is difficult to classify two viral strains when the abundance difference between them is below 3%. Thus, although we have demonstrated much better contig binning performance for distinguishing viral haplotypes than other contig binning tools, genome-scale viral haplotype construction is still a challenging problem.
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