• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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)。

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  • 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。

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  • 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。

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  • 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。

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  • 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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  • 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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