| The Path to Enlightenment： Making Sense of Genomic and Proteomic Information |
| |
| 作者姓名： | Maurer MH |
| |
| 作者单位： | DepartmentofPhysiologyandPathophysiology,UniversityofHeidelberg,69120Heidelberg,Germany. |
| |
| 基金项目： | This work was supported by a grant of the National Genome Research Network (NGFN-2)，an initiative of the German Ministry of Education and Research (BMBF). |
| |
| 摘 要： | Whereas genomics describes the study of genome, mainly represented by its gene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome, which is the protein complement encoded by the genome. In recent years, the number of proteomic experiments increased tremendously. While all fields of proteomics have made major technological advances, the biggest step was seen in bioinformatics. Biological information management relies on sequence and structure databases and powerful software tools to translate experimental results into meaningful biological hypotheses and answers. In this resource article, I provide a collection of databases and software available on the Internet that are useful to interpret genomic and proteomic data. The article is a toolbox for researchers who have genomic or proteomic datasets and need to put their findings into a biological context.
|
| 关 键 词： | 基因组学 蛋白质组学 因特网 WEB网 生物结构信息学 |
The path to enlightenment: making sense of genomic and proteomic information |
| |
| Maurer MH.The path to enlightenment: making sense of genomic and proteomic information[J].Genomics Proteomics & Bioinformatics,2004,2(2):123-131. |
| |
| Authors: | Maurer Martin H |
| |
| Institution: | Department of Physiology and Pathophysiology, University of Heidelberg, 69120 Heidelberg, Germany. maurer@uni-hd.de |
| |
| Abstract: | Whereas genomics describes the study of genome, mainly represented by its gene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome, which is the protein complement encoded by the genome. In recent years, the number of proteomic experiments increased tremendously. While all fields of proteomics have made major technological advances, the biggest step was seen in bioinformatics. Biological information management relies on sequence and structure databases and powerful software tools to translate experimental results into meaningful biological hypotheses and answers. In this resource article, I provide a collection of databases and software available on the Internet that are useful to interpret genomic and proteomic data. The article is a toolbox for researchers who have genomic or proteomic datasets and need to put their findings into a biological context. |
| |
| Keywords: | proteomics genomics Internet databases web databases structural bioinformatics |
| 本文献已被 CNKI 维普 万方数据 PubMed 等数据库收录！ |
