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_27
Snippet: where c i [k] represents the reads coverage at position k of sub-contig c i . |c i | is the number of bases in the sub-contig. N is the number of bins or haplotypes estimated by Step 1. VirBin utilizes the position-specific relative abundances of sub-contigs in windows with depth N to estimate the probability that a sub-contig belongs to a bin. Let the N bins be H 1 , H 2 , . . . , H N . Let E i be the abundance distribution for bin i. E i (x) is.....
Document: where c i [k] represents the reads coverage at position k of sub-contig c i . |c i | is the number of bases in the sub-contig. N is the number of bins or haplotypes estimated by Step 1. VirBin utilizes the position-specific relative abundances of sub-contigs in windows with depth N to estimate the probability that a sub-contig belongs to a bin. Let the N bins be H 1 , H 2 , . . . , H N . Let E i be the abundance distribution for bin i. E i (x) is the probability of abundance variable x being generated by bin i.
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