What is Multi-omics?
With the progress in all the different omics (the sum of constituents within a cell) fields, it is being increasingly recognized that the answer to a research question cannot be answered by one form of omics.
The microbiome influences the gene and protein expression which in turn influence the metabolome, and all these processes crosstalk and regulate each other.
Studying these processes in their entirety is critical to find strategies to treat diseases.
This is where the multi-omics field is coming in.
This field encompasses all the omics fields and tries to understand the native and altered state of an organism by the analysis of the data from different omics experiments
Researchers are building datasets to address health problems at the individual level.
They have extracted more value from these data using AI and machine learning, and combining their output with proteomic, transcriptomic, and epigenomic information to develop ‘multi-omics’ approaches
Genome Sequencing and its applications
Genome Sequencing is a laboratory method that is used to determine the entire genetic makeup of a specific organism or cell type.
This method can be used to find changes in areas of the genome.
These changes may help scientists understand how specific diseases, such as cancer, form
Researchers have started using AI and ML to help with analysing genome-sequencing data in cases of rare genetic disorders.
A single instance of sequencing the entire exome of an individual can yield 5 GB of data and whole-genome sequencing can yield 90 GB
Technicians are using AI- and ML-based approaches in the in-house bioinformatic pipelines as well as part of commercial tools for analysis of the sequencing data to identify disease-causing variants.
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