Analysis of Non-coding DNA Sequence in Variant Maps

来源 :第七届全国生物信息学与系统生物学学术大会 | 被引量 : 0次 | 上传用户：lb19900527

【摘要】

：

Although non-coding DNA sequences do not encode proteins[1,2],more and more studies show that non-coding DNA plays an indispensable role in other aspects[3].In this paper,variant maps[4,5]are applied

【作者】

：

刘文嘉郑智捷

【机构】

：

云南大学软件学院,昆明650091

【出处】

：

第七届全国生物信息学与系统生物学学术大会

【发表日期】

：

2016年8期

【关键词】

：

non-coding DNA sequence variant map

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　Although non-coding DNA sequences do not encode proteins[1,2],more and more studies show that non-coding DNA plays an indispensable role in other aspects[3].In this paper,variant maps[4,5]are applied on both coding and non-coding DNA sequences to analyze different classes of selected species.Using variant map technology,it is convenient to convert longer data sequences into specific visual figures to illustrate different probability distributions on results.Sample data sequences are selected from the four sample species.

其他文献

Reverse engineering of transcriptional and post-transcriptional regulatory networks by integrating o

Gene regulations play vital roles in many fundamental biological processes in both transcription and post-transcription levels.Reverse engineering of genome-wide regulatory networks from high-throughp

会议

Gene Regulatory Network InferenceTranscriptional and Post-Transcriptional Regul

Generation of functional gene regulatory mechanisms via a modified artificial genome model

Gene expression and regulation is the basis for a cells function.Various models have been built to investigate the behavior of it.Gene expression and regulation are based on complex bio-chemical inter

会议

Artificial GenomeGene Expression RegulationEvolutionary ComputationLife Span

DriverFinder: indentifying cancer driver genes by integrating genomic and transcriptomic data

Cancer is a complex disease involved with genomic,epigenomic,and gene expression aberrations.Integrating analysis of cancer genomic and transcriptomic data can help people to explore cancers comprehen

会议

cancerdriver genesmutationsexpression datagene-gene interaction networkgree

A New Method to Integrate Transcriptomic Data into Matebolic Network Analysis

Background: With the advent of high-throughput technologies,integrating omics data into metabolic network for further simulation analysis is becoming a hot spot of the microbial systems biology resear

会议

metabolic networktranscriptomicsflux balance analysisalgorithm

Transcriptomic and Metabolomics Analysis of Pseudomonas aeruginosa Bacteriophage-Host Interactions R

As interest in the therapeutic and biotechnological potentials of bacteriophage (phage) has grown,so has value in understanding their basic biology.However,experimental data on the impact of phage inf

会议

Microarry AnalysisBacterial MetabolomicsCo-expression NetworkNuclear Magnetic

Sequence-based predictive modeling to identify cancerlectins

Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species.Because of the ability to agglutinate red blood cells,they are named leeti

会议

cancerlectinsbinomial distributionoptimal tripeptidesSVM

Prediction of phosphothreonine sites in human proteins

Phosphorylation is one of the most important protein post-translation modifications.With the rapid development of high-throughput mass spectrometry,phosphorylation site data is rapidly accumulating,wh

会议

PhosphothreoninePhysicochemical propertiesPosition scoring functionSupport ve

Study on the influences of the hereditary language on the protein folding rates

Many works have reported that the protein folding rates are influenced by the amino acid sequences and the protein structures.But,few reports on the problem whether the corresponding mRNA sequences ar

会议

protein folding rateshereditary languagesingle base information redundancyadj

RNA-binding proteins prediction from sequence

RNA-binding proteins (RBPs) play critical roles in various biological processes.More and more RBPs are found recently.Identifying RBPs by computational prediction is still challenging.In this study,we

会议

In silico identification of protein S-palmitoylation sites and their involvement in human inherited

S-palmitoylation is a key regulatory mechanism controlling protein targeting,localization,stability and activity.Since increasing evidence shows that its disruption is implicated in many human disease

会议

S-palmitoylationSite identificationSeqPalm serverHuman inherited disease

Analysis of Non-coding DNA Sequence in Variant Maps

与本文相关的学术论文