Genome Visualization is a graphical representation method used to display genomic data, which can help researchers and scientists more intuitively understand the structure, function, and variation of the genome.

The input file should contain the following columns:

Column 1: Chromosome name (e.g., chr1, chr2, chrX, chrY, etc.)
Column 2: Start position (genomic coordinate)
Column 3: End position (genomic coordinate)
Column 4: Numerical value (e.g., expression level, mutation frequency, etc.)

Output

Chart Description

Chart Type: Human Whole-Genome Data Distribution Plot (Based on hg38 Genome Assembly)

X-axis: Genomic Coordinates (in base pairs; major ticks at 10Mb intervals, minor ticks at 1Mb intervals)
Y-axis: Data Values (e.g., gene expression levels, mutation frequency, copy number variation, etc.)

Chromosomes: Displays all 24 human chromosomes (22 autosomes + X + Y chromosomes)
Data Points: Red dot markers indicate the genomic position and corresponding value of each data point.

Scale:

• Y-axis range is automatically set from the 10th percentile to 2× the 90th percentile of the data to minimize the impact of outliers on visualization.