BlastP is used for searching protein databases for similar sequences.
BlastP是用于在蛋白质数据库中搜索类似序列的。
BLAST provides a method for rapid searching of nucleotide and protein databases.
BLAST提供一个快速搜寻核甘酸与蛋白质资料库的方法。
The users can search a range of parasite specific nucleotide sequence databases or search parasite protein databases for keywords and text terms and motifs from here.
用户可以在该网站搜索寄生虫的特定核酸序列或者根据关键词、术语和模体搜索寄生虫蛋白质数据库。
The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance of matches.
程序会把核苷酸或者蛋白质的序列与序列数据库相比较，并计算符合的统计学意义。
Molecular databases have long since become a powerful tool for the study of molecular evolution and the prediction of protein function.
分子数据库很久以前就成为分子进化研究和蛋白质功能预测的一种强大工具。
The process is carried out computationally in a high throughput manner by mining the ever-expanding databases of protein sequences of all organisms, especially human.
该方法通过挖掘不断膨胀的所有生物、特别是人类的蛋白质序列数据库，以高通量的方式在计算机上进行。
Some of the main protein family and domain databases are described here, along with their Web-based tools for analyzing domain architectures.
这里描述了一些主要的蛋白质家族和域数据库，连同分析域结构的基于网络的工具。
Nucleotide and protein sequence databases are major resources for biological and medical research.
核酸和蛋白质序列数据库是生物学和医学研究的重要资源。
BLAST (Basic Local Alignment search Tool) is a set of similarity search programs that explore all of the available sequence databases for protein or DNA.
爆炸(基本地方调整搜寻工具)一套相象搜寻探索的所有可得到顺序数据库给蛋白质或者dna的计画。
Currently at least 80% of the main protein sequence databases can be classified using these tools, thus providing a large data set to work from for analyzing protein domain architectures.
当前，至少80%的主要蛋白质序列数据库能够使用这些工具进行分类，因此提供了大量数据开始分析蛋白质域结构。
The sorts of the databases are respectively proteome annotation base, protein loop classification, protein domain prediction and rice dwarf phytoreovirus bank.
数据库的分类分别为蛋白质组注释库、蛋白质环分类、 蛋白质结构域预测和水稻矮小和抗病毒库。
MIR is not homologous to any known protein, as homologs were not found in the rice or Arabidopsis genome databases, or in the EST database for other organisms.
通过对拟南芥和水稻基因组的以及其他物种EST数据库的比对，发现MIR和已知蛋白均不同源。
Therefore, a unified standard of protein-protein interaction databases is in urgent need for collecting, collating the existing data and mining for useful information from them.
因此，目前亟需一个统一且规范的蛋白质相互作用数据库系统来收集和管理这些数据，并从已有的数据中挖掘有用信息。
Protein-protein interaction databases are thus becoming a major resource for investigating biological networks and pathways.
蛋白质-蛋白质相互作用数据库因此正在成为研究生物网络和通路的一种主要资源。
Protein-protein interaction databases are thus becoming a major resource for investigating biological networks and pathways.
蛋白质-蛋白质相互作用数据库因此正在成为研究生物网络和通路的一种主要资源。
应用推荐