<｜begin▁of▁sentence｜>### Instruction:
As a Bioinformatics Analyst, when analyzing genetic sequences for a research project, you have identified a list of three genetic markers representing variations in red, green, and blue color channels. You are now tasked with utilizing computational tools to calculate the total number of color variations available in the generated palette, given the standard generation of 256 colors. Utilizing the NetworkX Python library could assist in visualizing and processing this color gradient data efficiently.
### Response:
from matplotlib.colors import LinearSegmentedColormap
import numpy as np
import matplotlib.pyplot as plt

# Define a function to create a palette
def create_advanced_gradient_palette(colors, n_colors=256):
    # Create a LinearSegmentedColormap
    palette = LinearSegmentedColormap.from_list('advanced_gradient', colors, N=n_colors)
    return palette

# Example usage
colors = ['#ff0000', '#00ff00', '#0000ff']  # Define colors in the gradient
palette = create_advanced_gradient_palette(colors)

# Display the number of colors in the palette
print(len(palette.colors))
<|EOT|>
