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

Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Effect of Environmental Factors on Klebsiella Biofilm Formation
Effect of Environmental Factors on Klebsiella Biofilm Formation
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Digital Shiksha for Advanced Clinical Learning
Digital Shiksha for Advanced Clinical Learning
Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Admissions Apply Now