Back close
Admissions

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

The SMART SHG Project
The SMART SHG Project
Accessible and Inclusive AI project
Accessible and Inclusive AI project
An Efficient Scene Understanding System for Digital Farming to Detect Animal and Pest Attack Using Deep Learning 
An Efficient Scene Understanding System for Digital Farming to Detect Animal and Pest Attack Using Deep Learning 
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
Study of Socio-Economic Aspects of Sustainability and Influence of Human Behavior in Efficient Energy Usage Using Machine Learning
Study of Socio-Economic Aspects of Sustainability and Influence of Human Behavior in Efficient Energy Usage Using Machine Learning
Admissions Apply Now