Challenge: Visualize Sequence Length and GC Content
In comparative genomics, visualizing the relationship between DNA sequence length and GC content can reveal important patterns, such as evolutionary adaptations or sequencing artifacts. This challenge will help you integrate your knowledge of sequence analysis and biological data visualization by creating a scatter plot that displays both sequence length and GC content for a collection of DNA sequences. You will also enhance your plot by labeling outlier sequences and optionally color-coding points by group, which is a common requirement when comparing data from different sources or species.
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Write a function that takes a list of DNA sequences, calculates their lengths and GC contents, and plots a scatter plot using matplotlib. Label outliers and allow for optional color coding.
- Calculate the length of each DNA sequence.
- Calculate the GC content of each sequence.
- Plot sequence length versus GC content as a scatter plot using matplotlib.
- Label points that are outliers in either length or GC content.
- If a group list is provided, color points by group; otherwise, use a single color.
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How do I calculate GC content for each DNA sequence?
Can you explain how to identify and label outlier sequences on the scatter plot?
How can I color-code the points by group in the scatter plot?
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In comparative genomics, visualizing the relationship between DNA sequence length and GC content can reveal important patterns, such as evolutionary adaptations or sequencing artifacts. This challenge will help you integrate your knowledge of sequence analysis and biological data visualization by creating a scatter plot that displays both sequence length and GC content for a collection of DNA sequences. You will also enhance your plot by labeling outlier sequences and optionally color-coding points by group, which is a common requirement when comparing data from different sources or species.
Swipe to start coding
Write a function that takes a list of DNA sequences, calculates their lengths and GC contents, and plots a scatter plot using matplotlib. Label outliers and allow for optional color coding.
- Calculate the length of each DNA sequence.
- Calculate the GC content of each sequence.
- Plot sequence length versus GC content as a scatter plot using matplotlib.
- Label points that are outliers in either length or GC content.
- If a group list is provided, color points by group; otherwise, use a single color.
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