24_python_data.ipynb

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    "# Data science in Python\n",
    "\n",
    "## Session 2.4: Data project report in Jupyter\n",
    "\n"
   ]
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    "For the 4 species gff files store in the `data/` folder (mouse: `GRCm38.gff3`, human: `GRCh38.gff3`, zebrafish: `GRCz11.gff3` and panda: `AilMel.gff3`), load these files into a DataFrame, filter the exons, and calculate their length, their GC content as well as their molecular weigth. Store these calculations into new columns in their respective DataFrame. Plot these three values for the four species onto three graphs using a boxplot.\n",
    "\n",
    "Start by working with the mouse data for exploratory analysis, working through the problem steps by steps. Then, create a re-usable function to apply the analysis onto all datasets. Load all four datasets and apply the newly created function to calculate the new values. After having all DataFrames with the new three columns, visualise the data onto three boxplot graphs.\n",
    "\n",
    "Present the results into a Jupyter notebook, using Pandas, Matplotlib and Biopython. Write reusable and modular code as much as possible using functions.\n",
    "\n",
    "Have fun!"
   ]
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