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 # BioPython Project
 
-A bioinformatics project focusing on analyzing the human proteome. The project uses Pandas, BioPython and GOAtools to store, manipulate and analyse data structures. Project has the following goals: 
+A bioinformatics project focusing on analyzing the human proteome. The project uses Python tools (Pandas, BioPython, GOAtools) to store, manipulate and analyze data structures. 
 
-1. Could cysteines have a specific function in mitochondrial (MT) proteins, even if they would not form disulfides in the reducing environment  inside the mitochondrion? 
+The project uses the UniProtKB/Swiss-Prot manually annotated and non-redundant protein sequence database for human proteome. The proteome was downloaded from the UniprotKB in 3/2022 and the project was made using the most current version in time being (attached to the folder).
 
-2. Is the amino acid frequency of cysteine in MT proteins different from frequency in cytoplasmic proteins or extracellular proteins?
+Project is made using Jupyter Notebook, notebook contains both computer code (e.g. python) and rich text elements (paragraph, equations, figures, links, etc…). Notebook documents are both human-readable documents containing the analysis description and the results (figures, tables, etc..) as well as executable documents which can be run to perform data analysis.
 
+All used packages are listed in requirements.txt file. Any document of this project is freely usable as long as user refers to author of this project as a source.