Computational Gene
Computational Gene
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Computational gene is a term used to describe the application of computational methods to the study of genes and the genetic processes that are associated with them. This includes the development of algorithms to identify and analyze the sequence, structure, and expression of genetic material as well as the use of machine learning and artificial intelligence to predict and understand the function of genes.
... Genes, Computational Biology, and COVID- ...
... These analyses along with high performance machine learning techniques allow the computational prediction of miRNA genes and of their target genes. The results are stored in a knowledge base equipped with information retrieval tools which allows users to produce and extract their own ...
... For example, using Big Data and sophisticated computational approaches, genes that are potentially critical for host adaptation of microbes have been identified and are being characterized. The hope is to define genes that are required for host-adaptation and thus may be responsible ...
... Computational Tools for Traversing Genes to Cells to Disease - Chan Zuckerberg ...
... works in the challenging multidisciplinary filed of biotechnology, where she develops a variety of computational methods to identify genes, metabolites and proteins relevant to preventing Asthma and slowing down progression of Cystic Fibrosis in young children. Asthma is the number ...
... In this field of computational science, scientists compare genes and DNA sequences in proteins and look for patterns in sequences to discover their function. Bioinformatics, alongside genomics and proteomics, have rapidly grown to generate more knowledge about genomes and analyzing ...
... We use cutting edge single cell genomics technologies and computational methods to understand genes, proteins and cells in human health and ...
... Indirect access to chemistry through the infinite omics approach (genes, computational, synthetic biology) has proved very costly with limited success. ...
... focus primarily on three main areas of research: cardiovascular disease, single-cell mapping, and computational networking of genes. The award includes $19 million for the center team to carry out collaborative projects with California scientists from outside the center, including ...
... that reside outside coding and regulatory sequence elements of the human genome, identified using computational methods. Inserting therapeutic genes into GSHs ensures their safe expression by avoiding potential disruption of coding genes and inadvertent activation of genes ...
