Focus on the bioinformatics analysis of DNA methylation.
主要研究dna甲基化的生物信息学分析。
Bioinformatics analysis showed that open reading frames was located in site 1-1281.4.
生物信息学分析发现开放式阅读框位于1- 1281位。
Bioinformatics analysis using software showed LCRG1 may play function in cellular signal transduction.
软件分析推测，LCRG1可能在细胞信号传导中发挥作用。
Bioinformatics analysis of HSF4 can provide theoretical basis for the function research in the future.
对HSF4的生物信息学分析可以为其功能研究奠定理论基础。
Our results showed that bioinformatics analysis could suggest possible functions of many different novel genes.
结果表明，综合的生物信息分析可以为大部分新基因提供有价值的功能提示。
The result of bioinformatics analysis implied that the protein might be involved in cumulus expansion through exocytosis.
最后，通过生物信息学分析发现，这个蛋白可能是通过胞吐参与了卵丘细胞扩展过程。
Conclusions: Bioinformatics analysis provided evidences for PPIL6 gene cloning and further study of the functions of PPIL6 gene.
结论：生物信息学分析为进一步进行PPIL6基因的克隆及功能研究奠定了基础。
The further bioinformatics analysis indicates that it is a secreted proteins and that it has a signal peptide of 20 amino acid residues.
进一步的生物信息学分析表明：它是一种分泌蛋白，含有一个具有20个氨基酸残基的信号肽序列。
Bioinformatics analysis revealed no previous male sterile gene cloned in this region, so MS1142 is a new gene involved in anther and pollen development.
以上结果结合生物信息学分析表明，MS1142是一个新的调控花药发育的关键基因。
Software is also needed to simplify data management and make large-scale bioinformatics analysis accessible and reproducible to a wide class of target users.
对于一类广泛的靶向用户来说，也需要软件来简化数据管理和使得大规模的生物信息学分析可达到并且可重复。
Research on DNA sequence analysis is one of important subjects in Bioinformatics.
DNA序列分析研究是生物信息学的重要内容之一。
Both expressed sequence tags and phylogeny analysis are belonging to the field of bioinformatics.
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。
The analysis and research on gene expression data is an important research area of bioinformatics.
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。
Clustering analysis is an important research in data mining, and has been widely used in many fields, such as message filtering, document categorization, bioinformatics, etc.
聚类分析是数据挖掘中重要的研究课题，在信息过滤、资料自动分类、生物信息学等领域得到广泛应用。
Classification of novel isolates, analysis of microbial population, and study of metagenomics with the support of bioinformatics from variant environments.
在各种生态环境中筛选微生物新种，监测微生物群落结构，并结合生物信息学进行微生物元基因组研究。
Bioinformatics is a cross subject between computer science and biology, the primary content of which contains biological database and biological information analysis.
生物信息学是计算机科学与生物学的交叉学科，生物数据库及生物信息分析是其主要研究内容。
The study about deer MSTN gene was rarely reported in the present reports, the all sequence of MSTN gene, bioinformatics research and polymorphism analysis was never reported before.
但国内外对鹿mstn基因的研究较少，未曾见到鹿的MSTN基因序列的报道，更未见对鹿的MSTN基因的生物信息学研究和基因多态性分析报道。
Multiple sequence alignment is one of the essential tools of studying bioinformatics and it plays an important role in the evolution analysis and protein structure prediction.
多序列比对是一种重要的生物信息学工具，在生物的进化分析以及蛋白质的结构预测方面有著重要的应用。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Confocal scanning analysis showed that ASBT protein was mainly localized at the cellular plasma membrane, consistent with the predicting result obtained by bioinformatics.
共聚焦显微镜分析显示正常asbt蛋白主要定位于肾小管上皮细胞膜上，与生物信息学的预测结果一致。
But the interdisciplinary characteristic of Bioinformatics technology, such as complicated mathematics counting, logic analysis, visual data, Often makes biologists hang back.
然而生物信息技术具有跨学科的特点，其中复杂的数学计算、逻辑推导、数据可视化往往令生物学家望而却步。
The PathPort project at the Virginia Bioinformatics Institute (VBI) has implemented a number of web-services that provide the core data access and analysis tools capabilities for the system.
VBI的通信端口项目，一经应用于一系列的提供核心数据和数据 分子工具的网络服务。
The positive clones were sequenced and the sequence data were analyzed using Nucleotide BLAST software of NCBI and Expert Protein Analysis System of Swiss Institute of Bioinformatics.
通过互联网对测序获得的核苷酸序列进行同源性分析 ，并预测新基因编码蛋白质的结构与功能。
The positive clones were sequenced and the sequence data were analyzed using Nucleotide BLAST software of NCBI and Expert Protein Analysis System of Swiss Institute of Bioinformatics.
通过互联网对测序获得的核苷酸序列进行同源性分析 ，并预测新基因编码蛋白质的结构与功能。
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