后基因组

Postgenomic studies have revolutionized our understanding of genetic complexity in organisms.
后基因组学研究已经彻底改变了我们对生物体遗传复杂性的理解。
The postgenomic era has witnessed the explosion of genomic data, fueling advances in personalized medicine.
后基因组时代见证了基因组数据的爆炸式增长，推动了个性化医疗的进步。
Researchers use postgenomic techniques to analyze the functional roles of non-coding DNA sequences.
研究人员利用后基因组技术分析非编码DNA序列的功能作用。
In postgenomic biology, systems approaches integrate multiple layers of biological information.
在后基因组生物学中，系统方法整合了多层生物学信息。
The postgenomic landscape has led to the development of bioinformatics tools for data interpretation.
后基因组学领域催生了一系列生物信息学工具用于数据解读。
Epigenetics is an emerging field within postgenomics, focusing on gene expression changes not caused by DNA sequence variations.
基因表观遗传学是后基因组学的一个新兴领域，关注由DNA序列变异以外因素导致的基因表达变化。
Companies are investing in postgenomic technologies to identify new drug targets and biomarkers.
企业正投资于后基因组技术，以发现新的药物靶点和生物标志物。
Comparative genomics is a cornerstone of postgenomics, comparing genomes across different species for evolutionary insights.
比较基因组学是后基因组学的核心，通过比较不同物种的基因组获取进化方面的见解。
Postgenomics pushes the boundaries of traditional genetics, revealing the intricate interplay between genes and environment.
后基因组学拓展了传统遗传学的边界，揭示了基因与环境之间复杂的相互作用。
The rise of citizen science initiatives is also contributing to postgenomic research, democratizing access to genomic data analysis.
公民科学项目的兴起也推动了后基因组学研究，使更多人能够参与到基因组数据分析中。