中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 上海营养与健康研究所
  3. 中国科学院上海生命科学研究院营养科学研究所
Application of Computational Biology to Decode Brain Transcriptomes

文献类型：期刊论文

作者Li, Jie1,2; Wang, Guang-Zhong1,2; ,
刊名GENOMICS PROTEOMICS & BIOINFORMATICS
出版日期2019
卷号17期号:4页码:367-380
关键词Brain transcriptome atlas Computational analysis Spatiotemporal pattern Coexpression analysis Single-cell analysis
ISSN号1672-0229
DOI10.1016/j.gpb.2019.03.003
文献子类Review
英文摘要The rapid development of high-throughput sequencing technologies has generated massive valuable brain transcriptome atlases, providing great opportunities for systematically investigating gene expression characteristics across various brain regions throughout a series of developmental stages. Recent studies have revealed that the transcriptional architecture is the key to interpreting the molecular mechanisms of brain complexity. However, our knowledge of brain transcriptional characteristics remains very limited. With the immense efforts to generate high-quality brain transcriptome atlases, new computational approaches to analyze these high-dimensional multivariate data are greatly needed. In this review, we summarize some public resources for brain transcriptome atlases and discuss the general computational pipelines that are commonly used in this field, which would aid in making new discoveries in brain development and disorders.
学科主题Science & Technology - Other Topics
WOS关键词DE-NOVO MUTATIONS ; CELL RNA-SEQ ; GENE-COEXPRESSION NETWORK ; NONCODING RNAS ; EXPRESSION ; DYNAMICS ; ATLAS ; EVOLUTION ; DIVERSITY ; INSIGHTS
语种英语
CSCD记录号CSCD:31655213
WOS记录号WOS:000505053300004
出版者ELSEVIER
版本出版稿
源URL[http://202.127.25.144/handle/331004/1236]  
专题中国科学院上海生命科学研究院营养科学研究所
作者单位1.Chinese Acad Sci, CAS Key Lab Computat Biol, CAS MPG Partner Inst Computat Biol, Shanghai Inst Nutr & Hlth,Shanghai Inst Biol Sci, Shanghai 200031, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China,
推荐引用方式
GB/T 7714		 Li, Jie,Wang, Guang-Zhong,,. Application of Computational Biology to Decode Brain Transcriptomes[J]. GENOMICS PROTEOMICS & BIOINFORMATICS,2019,17(4):367-380.
APA Li, Jie,Wang, Guang-Zhong,&,.(2019).Application of Computational Biology to Decode Brain Transcriptomes.GENOMICS PROTEOMICS & BIOINFORMATICS,17(4),367-380.
MLA Li, Jie,et al."Application of Computational Biology to Decode Brain Transcriptomes".GENOMICS PROTEOMICS & BIOINFORMATICS 17.4(2019):367-380.

入库方式： OAI收割

来源：上海营养与健康研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。