Back close

Genetic Disease Prediction by DNA Assembly and Graph Analysis 

Project Incharge:Prathibhamol C. P.

DNA sequences have been proven to contain valuable information in controlling genetic traits. Deep analysis of DNA sequences clarifies the genetic disorder associated with a fetus within the womb of a mother. At the same time, tests like NIPT (Non-Invasive Prenatal Testing) can be conducted within the hospital lab premises, but still may be subjected to lower accuracy owing to laboratory dependencies. Therefore, it is not completely 100% accurate. A common pattern of DNA sequence from the affected genes can be found and compared to the fetal gene to predict the disease. So DNA Assembly can be applied effectively to understand genital disorders if any within the growing fetus.

Related Projects

Development of New and Efficient Photo Sensitizer for Dye Solar Cell
Development of New and Efficient Photo Sensitizer for Dye Solar Cell
A Service Oriented Framework for Smart Hospitals
A Service Oriented Framework for Smart Hospitals
Impact of Seasonal Migration on the Education of Tribal Children
Impact of Seasonal Migration on the Education of Tribal Children
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Admissions Apply Now