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- W4319782021 abstract "Development of modern medicine necessitates the collection, integration and interpretation of molecular, genomic, and cellular data, together with clinical data. Hence, it produces a significant amount of challenges to bioinformatics. For the investigation and understanding of biological complexity, a variety of methods and software have been created. To speed up biotech development, bioinformatics technologies like as sequence analysis and matching, molecular modelling, docking, indexing, and simulation techniques are used. Numerous upcoming bioinformatics breakthroughs are predicted to promote the study of large amounts of biomedical information. Consequently, bioinformatics plays a critical role in analyzing different types of data created by high-throughput research methods, such as genomic, transcriptomic, and proteomic datasets, and then arranging the knowledge gathered from traditional biomedicine. Bioinformatics has progressed from sequence data to high - throughput sequencing whole genome or transcriptome understandings, and is now focusing on contemporary fields of integrative and translational genetics, with a view to customized treatment in the future. This chapter encompasses all the above mentioned possibilities with various applicabilities of such bioinformatics advances." @default.
- W4319782021 created "2023-02-11" @default.
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- W4319782021 date "2023-02-07" @default.
- W4319782021 modified "2023-10-12" @default.
- W4319782021 title "Applications of Bioinformatics Tools in Medicinal Biology and Biotechnology" @default.
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- W4319782021 doi "https://doi.org/10.1002/9781119865728.ch6" @default.
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