Increasing protein sequences from the genome project require theoretical methods to predict transmembrane helical segments (TMHs).
基因组计划所产生的大量蛋白质序列迫切需要从理论上预测跨膜螺旋区段。
As the number of EST sequences increasing, which supplies a valuable resource for the development of SSR markers, and bioinformatics has become a powerful tool for mining SSR.
研制利用生物信息学方法通过分析数量迅速增加的EST序列开发ssr标记的有力工具。
With the success of human genome project, a widening gap appears between rapidly increasing known protein sequences and slow accumulation of known protein structures.
随着人类基因组计划的顺利实施，蛋白质序列信息的积累速度远快于蛋白质结构数量的增长速度。
With the success of human genome project, a widening gap appears between rapidly increasing known protein sequences and slow accumulation of known protein structures.
随着人类基因组计划的顺利实施，蛋白质序列信息的积累速度远快于蛋白质结构数量的增长速度。
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