Gene prediction is an important research branch in the field of bioinformatics.
基因预测是生物信息学领域中的一个重要研究方向。
The efficiency of gene prediction could be improved by ab initio prediction combined with EST information.
利用这些特征可以提高特定序列中这三类元件的预测效率。
The former is involved in miRNA detection and function analysis, and the latter focus on miRNA gene prediction and miRNA targets prediction.
前者侧重于小RNA表达的检测和功能机制的阐明，后者则包括新小RNA基因及小RNA靶基因的预测。
It turns out that this algorithm can improve the precision of the gene-prediction, and puts forward a possible way for the future research in gene prediction.
实验结果表明该算法提高了基因预测的精度，提供了一种可能的研究基因预测方案。
To find unknown protein-coding genes, annotation pipelines use a combination of ab initio gene prediction and similarity to experimentally confirmed genes or proteins.
为了找出编码蛋白质的基因，注释流程结合了“从头开始的基因预测方法”和“与已知基因相似性比较”这两种方法。
Similarity searches are a powerful method for solving important biological problems such as database scanning, evolutionary studies, gene prediction, and protein structure prediction.
相似性搜索是解决重要的生物学问题，例如数据库扫描、进化研究、基因预测和蛋白质结构预测的一种强大的方法。
Multiple myeloma gene expression data was analyzed and Self Organization Prediction Model (SOPM) based on Self-Organization Mapping (SOM) networks was established for predicting multiple myeloma.
本研究基于自组织映射网络(SOM)，分析多骨髓瘤基因表达数据，建立预测多骨髓瘤的自组织预测模型(SOPM)。
The final value for research on human gene is to protect life and improve health by disease prediction, diagnosis and treatment.
人类基因研究的最终价值是通过对疾病的预测、诊断与治疗来保护生命和提高健康水平。
Two examples are our research such as the prediction of prognosis for cancer patients from DNA microarray data using FNN and gene clustering for DNA microarray data using fuzzy ART.
有两个例子是我们的研究，如DNA微阵列数据使用DNA微阵列数据的模糊art模糊神经网络和基因聚类的癌症患者预后的预测。
Disease genes are important for gene therapy. So the study of breast cancer related genes prediction is very meaningful.
致病基因是基因治疗的基础，因此建立有效的乳腺癌相关基因预测方法是非常有意义的工作。
Methods: By analyzing the antigen epitope of SARS-CoV s protein with antigenic peptides prediction software, a new gene was designed, and its expression vector was constructed.
方法：应用生物信息学分析软件分析SARS冠状病毒S蛋白的抗原表位序列，设计全新的抗原表位编码基因序列，构建表达载体并在大肠杆菌中表达该基因。
Nowadays, Multiple Sequence Alignment is an important topic in Biology information industry, which has wide range of applications in area of Gene Identification, Structure Prediction, etc.
多序列比对是目前生物信息领域研究的重要课题之一，在基因识别、蛋白质结构预测等领域有着广泛的应用。
Nowadays, Multiple Sequence Alignment is an important topic in Biology information industry, which has wide range of applications in area of Gene Identification, Structure Prediction, etc.
多序列比对是目前生物信息领域研究的重要课题之一，在基因识别、蛋白质结构预测等领域有着广泛的应用。
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