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

On-Line Condition Monitoring and Chatter Control in Thin-wall Machining Systems Using Machine Learning Algorithms
On-Line Condition Monitoring and Chatter Control in Thin-wall Machining Systems Using Machine Learning Algorithms
Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
Green Synthesis of Metal Nanoparticles & its Applications
Green Synthesis of Metal Nanoparticles & its Applications
The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
Adult stem cell Regeneration
Adult stem cell Regeneration
Admissions Apply Now