
技术交流 技术方案 采购指南 话题讨论 维修保养 资料下载 企业案例 会员报道
High-throughput protein analysis integrating bioinformaticsexperimental assays.
Nucleic Acids Res. 2004 Feb 3;32(2):742-8
The wealth of transcript information that has been made publicly available in recent years requires the development of high-throughput functional genomicsproteomics approaches for its analysis. Such approaches need suitable data integration proceduresa high level of automation in order to gain maximum benefit from the results generated. We have designed an automatic pipeline to analyse annotated open reading frames (ORFs) stemming from full-length cDNAs produced mainly by the German cDNA Consortium. The ORFs are cloned into expression vectors for use in large-scale assays such as the determination of subcellular protein localization or kinase reaction specificity. Additionally, all identified ORFs undergo exhaustive bioinformatic analysis such as similarity searches, protein domain architecture determinationprediction of physicochemical characteristicssecondary structure, using a wide variety of bioinformatic methods in combination with the most up-to-date public databases (e.g. PRINTS, BLOCKS, INTERPRO, PROSITE SWISSPROT). Data from experimental resultsfrom the bioinformatic analysis are integratedstored in a relational database (MS SQL-Server), which makes it possible for researchers to find answers to biological questions easily, thereby speeding up the selection of targets for further analysis. The designed pipeline constitutes a new automatic approach to obtainingadministrating relevant biological data from high-throughput investigations of cDNAs in order to systematically identifycharacterize novel genes, as well as to comprehensively describe the function of the encoded proteins.
上一篇:中西方食品包装机械差异分析
本网转载并注明自其它来源(非好博体育设备网www.foodjx.com)的作品,目的在于传递更多信息,并不代表本网赞同其观点或和对其真实性负责,不承担此类作品侵权行为的直接责任及连带责任。其他媒体、网站或个人从本网转载时,必须保留本网注明的作品第一来源,并自负版权等法律责任。