A binning tool to reconstruct viral haplotypes from assembled contigs

Jiao Chen; Jiayu Shang; Jianrong Wang; Yanni Sun

. CC-BY-NC-ND 4.0 International license The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a . https://doi.org/10.1101/704288 doi: bioRxiv preprint Relative abundance computation Once the iterative clustering algorithm converges, the abundance of each cluster can be computed as the weighted average abundances for all contigs from this cluster. VirBin. X-axis represents each haplotype. Y-axis is the ground truth or predicted abundance for each haplotype. Fig. 6 compares the known haplotype abundance profiles with our computed ones. There are three read sets with different abundance distributions (Table 1) . For each distribution, there are five sets of contigs (Table S1 in the Supplementary Data file). Thus, three plots of five curves are presented to compare the ground truth and the computed abundance. In addition, we applied χ 2 -test to compare the ground-truth distribution and each computed abundance distribution. The p-values from all the tests are larger than 0.99, indicating that the distributions are not statistically different. As MaxBin only correctly clustered several contigs, we did not include the abundance comparison.