医学遗传学,基因组学和生物信息学-2022-2022年
Vadim V Klimontov1, Konstantin A Koshechkin2, Nina G Orlova3
1Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.
生物信息学工具对于了解疾病进展至关重要. 整合omics数据具有挑战性,但是推动分子洞察力的关键.
科学领域:
- 生物信息学和计算生物学
- 分子生物学分子生物学
- 基因组学和蛋白质组学
背景情况:
- 疾病进展分析需要复杂的生物信息学工具.
- 整合各种各样的omics数据 (基因组学,蛋白质组学等). 对于全面了解分子机制至关重要.
- 当前生物信息学方法在处理omics数据的复杂性和规模方面面临挑战.
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