n.生物信息学

Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze and interpret biological data.
生物信息学是一个跨学科领域，它结合了生物学、计算机科学和统计学来分析和解释生物数据。
Sequence alignment algorithms in bioinformatics help identify similarities between DNA or protein sequences.
生物信息学中的序列比对算法有助于识别DNA或蛋白质序列之间的相似性。
In genomics, bioinformatics tools are used to assemble and annotate genomes from next-generation sequencing data.
在基因组学中，生物信息学工具被用来从下一代测序数据组装和注释基因组。
Phylogenetic tree construction is a key application of bioinformatics, which helps understand the evolutionary relationships among species.
构建系统发生树是生物信息学的一个关键应用，它有助于理解物种间的进化关系。
Machine learning techniques have revolutionized the prediction of gene function in bioinformatics research.
机器学习技术已经革新了生物信息学研究中基因功能预测的方法。
Microarray analysis using bioinformatics allows for the identification of differentially expressed genes under various conditions.
利用生物信息学进行微阵列分析可以识别在不同条件下差异表达的基因。
RNA-seq data processing with bioinformatics pipelines reveals transcriptomic landscapes of cells and tissues.
使用生物信息学流程处理RNA测序数据揭示了细胞和组织的转录组图谱。
Protein structure prediction algorithms in bioinformatics can assist in understanding molecular mechanisms and drug discovery.
生物信息学中的蛋白质结构预测算法可以帮助我们了解分子机制并推动药物发现。
Functional annotation of non-coding RNAs through bioinformatics analysis has uncovered novel regulatory elements in biology.
通过生物信息学分析非编码RNA的功能注释揭示了生物学中的新型调控元件。
Metagenomics studies rely on bioinformatics to profile and compare microbial communities present in diverse environments.
宏基因组学研究依赖于生物信息学来表征和比较存在于各种环境中的微生物群落。