国家高技术“863”计划、国家海外青年学者合作研究基金 (30128010)、国家自然 科学基金 (30100049, 39900041, 39900074)与北京市自然科学基金 (7002030)、军事医学科学院科技创新启动基金 (0102001, 9905105)部分资助.
This work was partially supported by grants from State 863 High Technology R & D Project of China,National Science Fund for Distinguished Young Scholars(30128010),The National Natural Science Foundation of China(30100049,39900041 and 39900074),The Natural Scienec Foundation of Beijing(7002030),Initiative Foundation for Scientific and Technological Innovation of Academic Military Medical Science(0102001 and 9905105).
差异表达基因的检测与分析已成为研究具有差异的生物学表型的常规策略.对通过实验所获得的差异基因片段进行生物信息学分析,主要包括基于国际互联网的序列相似性分析、片段重叠群分析和全长cDNA序列分析,以及如何构建局域网并采用本地服务器进行规模化的数据分析,从而为研究人员提供可参考的生物信息学数据分析方案.
Detection and analysis of differentially-displayed genes is a routine strategy for the study of different biological phenotype.A data-mining flowchart on the bioinformatic analysis of these genes is described,which includes sequence similarity analysis based on internet, contig assembly and full-length cDNA sequence obtaining.Moreover,the strategy for how to construct a local bioinformatic platform for large-scale analysis on novel genes is also introduced.All of this information will accelerate the progress on novel genes cloning and function prediction.
张成岗,贺福初.生物信息学在新基因全长cDNA序列分析及功能预测中的应用[J].生物化学与生物物理进展,2003,30(1):159-163
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