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

Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Amrita Wireless Sensor Network for Landslide Detection System for Himalayas
Amrita Wireless Sensor Network for Landslide Detection System for Himalayas
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
Transformation, Expression and Activity Analysis of Recombinant Staphylococcus Autolysin in Bacillus
Transformation, Expression and Activity Analysis of Recombinant Staphylococcus Autolysin in Bacillus
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Admissions Apply Now