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Functional genomics is a field of molecular biology that attempts to describe gene (and protein) functions and interactions. Functional genomics make use of the vast data generated by genomic and transcriptomic projects (such as genome sequencing projects and RNA sequencing ).
Eric Gamazon has developed computational methods that can be used to identify genes and mechanisms underlying complex diseases. [4] [5] He was a developer of the transcriptome-wide association study [6] [7] (TWAS) methodology (PrediXcan), which integrates gene expression and genome-wide association study data to identify disease-associated genes.
Cognitive genomics: Study of the changes in cognitive processes associated with genetic profiles. Comparative genomics: Study of the relationship of genome structure and function across different biological species or strains. Functional genomics: Describes gene and protein functions and interactions (often uses transcriptomics).
Schematic overview of the modular structure underlying procedures for gene set enrichment analysis. Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g ...
Genetics nursing is a nursing specialty that focuses on providing genetic healthcare to patients. The integration of genetics into nursing began in the 1980s and has been a slow but important process in improving the quality of healthcare for patients receiving genetic and genomic based care from nurses.
RNA-Seq refers to the combination of a high-throughput sequencing methodology with computational methods to capture and quantify transcripts present in an RNA extract. [10] The nucleotide sequences generated are typically around 100 bp in length, but can range from 30 bp to over 10,000 bp depending on the sequencing method used.
Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.
This systematic approach to studying epistasis on a genome wide scale has significant implications for functional genomics. By identifying the negative and positive interactions between an unknown gene and a set genes within a known pathway, these methods can elucidate the function of previously uncharacterized genes within the context of a ...