还对化学信息学，生物信息学和系统生物学之间的新联系进行了探讨。
New links between chemoinformatics, bioinformatics, and systems biology are also explored.
一些生物信息学的计算工具。
生物信息学是生命科学中最活跃的领域之一。
Bioinformatics is one of most active fields in life science.
RNA序列结构比对是生物信息学中的基本问题。
RNA sequence-structure alignment is a basic problem in bioinformatics.
基因预测是生物信息学领域中的一个重要研究方向。
Gene prediction is an important research branch in the field of bioinformatics.
基因网络相关的研究是生物信息学的重要研究领域。
Gene networks related research has now become one of the most important research areas in Bioinformatics.
DNA序列分析研究是生物信息学的重要内容之一。
Research on DNA sequence analysis is one of important subjects in Bioinformatics.
RNA二级结构预测问题是生物信息学的一个研究重点。
One of the most important research areas in bioinformatics is RNA secondary structure prediction.
我希望可以专注于生物信息学，数据库和数据挖掘技术。
I would like to focus on bio-informatics, database and data mining technology.
生物信息学是一门新兴的交叉学科，有它自身鲜明的特征。
Bioinformatics is a burgeoning cross discipline with its distinctive features.
蛋白质结构的研究已经成为了生物信息学中的一个重要课题。
The research of the structure of protein has become an important topic in bioinformatics.
所以对一个更好、更方便检索的生物信息学数据库的需求就更为迫切了。
So there's a growing need for a better, easily searchable bioinformatics database.
基因表达数据的分析和研究是生物信息学中重要的研究课题。
The analysis and research on gene expression data is an important research area of bioinformatics.
本文主要的研究内容是通用生物信息学数据库的设计和实现。
The content of this article is about the design and application of the general bioinformatics database.
表达序列标记和分子系统学分析，都隶属于生物信息学研究的范畴。
Both expressed sequence tags and phylogeny analysis are belonging to the field of bioinformatics.
生物信息学指的是：被设计成处理这些极大量信息的计算机软件技术。
Bioinformatics is the name given to the computer software technologies that are being devised to manage this information overload.
表面上他是一麻省理工生物系的研究员参于了生物信息学和新兴生物艺术学的研究。
He is, on paper, a research affiliate with their Department of Biology, and is involved in the study of bioinformatics and new biological art forms.
目前，如何在生物信息学教学中体现学科统一性仍然是一个未解决的课题。
At present, it is still an unresolved issue of how to embody subject unity at bioinformatics teaching.
集合覆盖贪心算法的推广被用来求解生物信息学中出现的冗余测试集问题。
The generalization of set cover greedy algorithm is used to solve the redundant test set problem arising in bioinformatics.
使用机器学习方法分析生物信息学中的复杂数据是目前重要的研究领域之一。
With the development of the bioinformatics, how to analyzes complex genomics data using machine learning approach has become an important research field.
作为基因功能预测的主要手段，序列相似性查询技术是生物信息学领域的研究热点。
As a main method for predicting the functionality of genes, the sequence similarity querying technique is becoming one of the research hotspots in bioinformatics.
生物信息学专业学习如何利用基金和方程序来整理和理解生物数据，包括基因数据。
Bioinformatics majors learn how to use computers and equations to sort and make sense of biological data, including genetic data.
蛋白质结构预测是生物信息学中的重要课题，而蛋白质序列是蛋白质结构预测的基础。
The structure prediction of proteins is the important problem of biology informatics. And the protein sequence is the base of the structure prediction of proteins.
这对数据模型选择上的冲击，反过来，是基于由生物学家提出的生物信息学数据的组织。
This impinges on the choice of the data model, which, in turn, is based on the organization of bioinformatics data by biologists.
目的：探讨砷化物与基因的相互作用，克隆砷相关基因，利用生物信息学技术分析克隆基因。
Objective: To explore the interaction of gene with arsenic compounds, arsenic related gene was cloned and its function was analyzed by bioinformatics.
目的：探讨砷化物与基因的相互作用，克隆砷相关基因，利用生物信息学技术分析克隆基因。
Objective: To explore the interaction of gene with arsenic compounds, arsenic related gene was cloned and its function was analyzed by bioinformatics.
应用推荐