A genome is an organism's whole collection of DNA, which includes all of its genes, and it contains the entire set of information needed to construct and sustain organisms. A digital genome, on the other hand, refers to whole digital sets of genetic material found in an organism's DNA. It is used in studies of genetic abnormalities and chronic illnesses. It provides rapid access to trait sequences for understanding disease genetics concerns.
Digital Genomics has transformed innovation-centered research in order to get important insights and comprehend complicated genetic pathways. Currently, artificial intelligence and machine learning technologies are being utilized to solve genomics difficulties such as annotating genomic sequence elements, recognizing splice sites, promoters, enhancers, and positioned nucleosomes. For instance, Sapientia: a clinical genomics analysis platform from Congenica, uses algorithms to annotate and prioritize variants from whole-exome sequencing to assist in the diagnosis of rare diseases.
Know more-https://cmi-latestreportorientedblogs.blogspot.com/2022/07/how-digital-genome-is-impacting.html
