• Dibya Kumari
• Kumari Surekha Mahto
• Zarina perween
• Neha Kumari
• Mona Priya Tirkey,Rupa Verma,Anita Sinha,Shristi Kumari,Pinky Raj Sahu, Mukesh Nitin

More than 40 million people worldwide suffer from neurodegenerative disease (ND). Many of these diseases lack treatment to slow or stop their progression. This is mainly due to the challenge of releasing the cooccurrence of a wide variety of pathophysiological changes. The increase in many ND risk factors is age, highlighting the need of developing viable therapies for the world's ageing population. Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease are among the most often studied NDs (HD). Current technology and computing capabilities show an optimistic future that shows these changes, ND and progress. Network and graph analysis are examples of "high-throughput" research-based methodologies. Proposes accessible modular and pathway-oriented bioinformatics research methodologies that uncover possible biomarkers or treatment targets and bring fresh insights into the complicated pathophysiology of such diseases. This review focus on the technical and computational approaches and multiomic analysis will enable the discovery of new therapeutic strategies for these catastrophic diseases.

Neurodegenerative diseases, Huntington’s disease, Frontal dementia, biomarkers, Alzheimer’s disease, multi-omic.

"Bioinformatics approaches using computational tools of Neurodegenerative Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.f157-f170, March-2022, Available :http://www.jetir.org/papers/JETIR2203518.pdf

"Bioinformatics approaches using computational tools of Neurodegenerative Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppf157-f170, March-2022, Available at : http://www.jetir.org/papers/JETIR2203518.pdf