Selected article for: "consensus window depth and window depth"

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_52
    Snippet: For all three sets of contigs assembled by PEHaplo and SGA on three sets of reads, the consensus window depth of the 50 longest windows is 5, revealing the actual haplotype number. Fig. 7 .(a) presents the clustering results on contigs generated by PEHaplo and SGA. It shows that VirBin achieved good clustering results on contigs assembled by both assembly tools. The clustering results on SGA's contigs are similar to PEHaplo's contigs, with both h.....
    Document: For all three sets of contigs assembled by PEHaplo and SGA on three sets of reads, the consensus window depth of the 50 longest windows is 5, revealing the actual haplotype number. Fig. 7 .(a) presents the clustering results on contigs generated by PEHaplo and SGA. It shows that VirBin achieved good clustering results on contigs assembled by both assembly tools. The clustering results on SGA's contigs are similar to PEHaplo's contigs, with both high precision and recall. This observation is consistent with the results on simulated contigs that when the contigs are long enough, VirBin can produce good results.

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