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

Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Sustainable Building Technique for Affordable Rural Construction: Rammed Earth
Sustainable Building Technique for Affordable Rural Construction: Rammed Earth
Development of Laser Surface Texturing technology for automotive application
Development of Laser Surface Texturing technology for automotive application
Investigation into the surface integrity of the Titanium Alloys during high speed machining
Investigation into the surface integrity of the Titanium Alloys during high speed machining
Admissions Apply Now