Have
you ever wondered why you look so alike to your parents or have some
significant similarities with them or your forefathers? It is the DNA! Believe
it or not, studying DNA is really interesting, and why not? There is so much
that the genomic data enlightens us by exemplifying the functional information
of the DNA sequences of different organisms.
Today, with the growing number of health issues and illnesses, healthcare researchers are actively seeking developments & advancements by analyzing & interpreting DNA sequences to understand how DNA differences can affect human health & diseases. As a result of which, a recent report published by MarkNtel Advisors has cited around 11.10% CAGR for the Global Genomic Data Analysis & Interpretation Market during 2022-27. Let's now take a deeper dive into this and understand the importance of analyzing & interpreting genomic data.
Significance & Key Applications of Genomic
Data Analysis & Interpretation
Genomic
data analysis & interpretation finds extensive application in research,
from Omics Data Analysis like Transcriptomic, Microbiomics, & Proteomics,
to understanding Population Genomics, Annotation & Gene Expression. In
addition, its clinical application scales across Oncology, Rare Diseases,
Infectious Diseases, and others like Sexual & Reproductive Health issues.
Besides,
genomic data analysis & interpretation is also crucial to identifying
various carriers present hereditarily, which might cause disorders, chronic
illnesses, & allergies, among others. Accurate data possession &
understanding can help detect & prevent the formation of diseased cells in
the body.
However,
the most prominent need for genomic data analysis & interpretation is seen
extensively in its integration into Electronic Health Records (EHRs) to boost
various clinical diagnoses, developments in precise medications, and treatment
of different genetic disorders. In fact, it also improves the overall
conduction of gene research & clinical practices, alongside educating
healthcare professionals about genetics, thereby saving treatment time &
costs.
On
the other hand, genomic data interpretation is considered much more challenging
than generating the functional information of DNA sequences. What makes this
analysis & interpretation highly popular is their help in the early
diagnosis & efficient prognosis of different cancers.
So, what does the future hold for the Genomic Data
Analysis and Interpretation Industry?
The
healthcare industry is exploring greater ends of DNA sequences, analyzing &
interpreting genomic data for research & clinical applications, and
witnessing a rising utilization of Next-Generation Sequencing (NGS) in cancer
research, reducing sequencing costs, & numerous genomic research
initiatives across different developed countries globally. The massively
accumulated large-scale molecular & clinical data in recent years has
entirely transformed personalized medicine, i.e., an emerging medicine practice
that uses a person's genetic information to determine patient-specific therapy.
Hence,
as several companies are conducting various research & development
activities and investing substantially in the industry, it hints at
remunerative growth opportunities for the Global Genomic Data Analysis and
Interpretation Market in the years ahead. It is when with the help of more
advanced Machine Learning technologies like Artificial Intelligence & Deep
Learning, a large amount of genomics data would be able to help address
personalized healthcare issues & suggest new therapeutics for the treatment
of gene-related disorders.
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