Bioinformatics approaches to identify neurodegenerative diseases by next generation sequencing data
While there has been progress in the areas of cancer, cardiovascular, and metabolic diseases, the field of neurodegenerative diseases has proven to be extremely difficult. This is due, in part, to the fact that the aetiology of neurodegenerative diseases are unknown. According to research, patients with essential tremor frequently have neurological abnormalities such as bradykinesia, ocular movement anomalies, deficits in hand–eye coordination, mild dysarthria, gait ataxia, and possibly olfactory and hearing deficits. The advancement of next-generation sequencing (NGS) technologies is transforming medical genetics practice and revolutionizing the approach to heterogeneous hereditary conditions such as neurodegenerative disorders. The massive amount of genetic data generated by Next Generation Sequencing has had a significant impact on clinical diagnoses while also contributing to the discovery of molecular pathomechanisms central to these diseases.
Sudheer Menon. Bioinformatics approaches to identify neurodegenerative diseases by next generation sequencing data. International Journal of Educational Research and Development, Volume 3, Issue 3, 2021, Pages 70-74