Usage: Enter no more than 5 run accession numbers to create the comparison results of their CV and Lorenz curves.(This may take a minute, please be patient.)
Examples: SRR1779334,SRR630501,SRR1777265,SRR6432712,SRR5514733
Tips:
Here, CV (Coefficient of Variation) and Lorenz (Lorenz Curve) were used to characterize the amplification uniformity of the single-cell genome.
CV:
CV is the ratio of the standard deviation to the mean, the abscissa of the CV plot is the window size, and the ordinate is the corresponding CV value.
It can reflect the homogeneity of genomic coverage and compare the differences between different samples or the same sample under different experimental conditions.
Lorenz:
The Lorenz Curve accumulates the percentage of matching reads per hundredth of a genomic location, and the corresponding points are connected into a curve with a degree of curvature that shows the uniformity of the reads distribution.
The diagonal represents a completely uniform distribution, and the closer the Lorentz curve is to the diagonal, the more uniform the coverage of the reads.
For questions and suggestions, please contact: heshiyang@seu.edu.cn © HSCGD. State Key Laboratory of Digital Medical Engineering, Southeast University
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