Bioinformatics in Genomics

\r\n Bioinformatics the science of collecting and analyzing complex biological data such as genetic codes. Molecular medicine requires the integration and analysis of genomic, molecular, cellular, as well as clinical data and it thus offers a remarkable set of challenges to bioinformatics. Bioinformatics nowadays has an essential role both, in deciphering genomic, transcriptomic, and proteomic data generated by high-throughput experimental technologies, and in organizing information gathered from traditional biology and medicine. Research Centers for Bioinformatics are: National Centers for Biomedical Computing,  National Center for Simulation of Biological Structures, National Center for the Multiscale Analysis of Genomic and Cellular Networks, National Alliance for Medical Image Computing (NA-MIC), National Center for Biomedical Ontology (NCBO) at Stanford University, Integrate Data for Analysis, Anonymization, and Sharing (IDASH) at the University of California, San Diego. The Canadian government is also ponying up cash for omics research, with the Canada Foundation for Innovation backing several projects as part of a C$30.4 million ($27.6 million) investment in academic research. McGill University scooped the joint-biggest award for a project, C$400,000, to advance its single-cell genomics infrastructure.

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At the intersection of experimental and computational biology, genomics research involves interpretation and integration of large-scale, genome-wide datasets. Bioinformatics in genomics rapidly improving era “next-generation” DNA sequencing technologies now allow for the routine sequencing of entire genomes and transcriptome, or of virtually any targeted set of DNA or RNA molecules.

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