Introductory Tract Challenges

For this introductory challenge, we have created web apps that accept user data input and compare them to pre-existing databases.

For challenge 1, a sequence aligner was used to analyze and compare input DNA sequences from genes associated with dietary deficiencies. The aligner matches nucleotides and determines percentage similarities to genes from the databank. The app will identify the dietary deficiency based on the person's inserted genetic sequence and recommend a diet plan.

For challenge 2, a web app sequence aligner was also used to analyze and compare input DNA sequences from genes associated with cancer such as TP53, BRCA 1 and 2, etc. The aligner matches nucleotides and determines percentage similarities to genes from the databank. The app will identify the cancer-associated gene based on the person's inserted genetic sequence and the risk of developing certain types of cancer from a scoring system. The scoring system is based on percentage similarities to known genes containing variations and mutations, and the risk is identified on a LOW to HIGH risk scale.

For challenge 3, a web app was used to detect counterfeit drugs based on input drug compositions, such as certain active ingredients and molecular weights of the ingredients. The app will compare user data input to verified drugs' composition database and identify if the drug is genuine or counterfeit.

Built With

• python
• streamlit