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

Detailed computational modelling and optimization of natural draught cook stoves
Detailed computational modelling and optimization of natural draught cook stoves
Autonomous Navigational Platform for Elderly and Physically Challenged
Autonomous Navigational Platform for Elderly and Physically Challenged
Machine Fault Identification : A Unified Approach
Machine Fault Identification : A Unified Approach
Hybrid Analysis Framework for Detection of Application Backdoors
Hybrid Analysis Framework for Detection of Application Backdoors
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Admissions Apply Now