Version 1
: Received: 8 September 2024 / Approved: 9 September 2024 / Online: 9 September 2024 (09:21:13 CEST)
How to cite:
Montgomery, R. M. Functional Analysis of Genetic Tests in Neurological Diagnostics: Advances and Future Prospects. Preprints2024, 2024090618. https://doi.org/10.20944/preprints202409.0618.v1
Montgomery, R. M. Functional Analysis of Genetic Tests in Neurological Diagnostics: Advances and Future Prospects. Preprints 2024, 2024090618. https://doi.org/10.20944/preprints202409.0618.v1
Montgomery, R. M. Functional Analysis of Genetic Tests in Neurological Diagnostics: Advances and Future Prospects. Preprints2024, 2024090618. https://doi.org/10.20944/preprints202409.0618.v1
APA Style
Montgomery, R. M. (2024). Functional Analysis of Genetic Tests in Neurological Diagnostics: Advances and Future Prospects. Preprints. https://doi.org/10.20944/preprints202409.0618.v1
Chicago/Turabian Style
Montgomery, R. M. 2024 "Functional Analysis of Genetic Tests in Neurological Diagnostics: Advances and Future Prospects" Preprints. https://doi.org/10.20944/preprints202409.0618.v1
Abstract
The integration of genetic technologies into neurological diagnostics has significantly enhanced our ability to understand and manage neurological disorders. This article discusses the functional analysis of key genetic tests, including microarray analysis, variant sequencing, exome sequencing, RNA sequencing, and whole genome sequencing. Each of these technologies offers unique advantages and challenges, providing a comprehensive toolkit for diagnosing and understanding the genetic basis of neurological conditions. The functional insights gained from these tests not only detect genetic abnormalities but also elucidate their functional consequences, aiding in the diagnosis, prognosis, and management of neurological disorders. As these technologies continue to evolve, they are expected to play an increasingly important role in the field of neurological diagnostics, paving the way for personalized medicine and improved patient outcomes.
Biology and Life Sciences, Biology and Biotechnology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
