gene recognition algorithm 基因识别算法
gene recognition algorithms 基因识别算法
gene pattern recognition 基因模式识别
Gene Start Sites recognition 基因起始位点识别
BirA recognition polypeptide sequence gene BirA识别多肽序列基因
Many tasks in bioinformatics can be abstracted as the problem of character sequence analysis, such as gene recognition, protein secondary structure prediction etc.
生物信息学领域内的许多课题可以抽象成字符序列处理问题,例如,基因识别、蛋白质二级结构预测等。
参考来源 - 字符序列的解析数论模型及其在生物信息学中的应用The optimized sim4 is suitable for aligning transcripts to genome across species. It could be use as support to gene recognition and gene map making in genome scale.
优化后sim4适合于跨物种的转录本序列与基因组序列的比对,可为基因组范围内的基因识别、图谱制作等应用问题提供支持。
参考来源 - 跨物种全基因组剪接比对快速算法设计与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
The third part analyzes the genome structure of Arabidopsis thaliana and develops an ab initio eukaryotic gene recognition program.
论文的第三部分是真核生物基因识别和基因组结构分析。
The automatic gene recognition and color coding increases the readability of abstracts and significantly speeds up literature research.
自动的基因识别和颜色编码增加了摘要的可读性，并显著地加速了文献研究。
A main challenge in gene recognition is the resolution of homonyms and rejection of identical abbreviations used in a 'non-gene' context.
基因识别中的一个主要挑战是异物同名词的分辨及在一个“非-基因”环境中使用的同一缩写的拒绝。
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