WHOLE DATABASE AND WHOLE GENOME COMPARISON TOOL

全数据库和全基因组比较工具

• 批准号: 6290490
• 负责人: DAVID J. LIPMAN
• 金额: --
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6290490
• 关键词: artificial intelligence; computer assisted sequence analysis; computer program /software; computer system design /evaluation; genome; indexing; information system analysis; nucleic acid sequence

Recent advances in DNA sequencing techniques have led to the determination of the entire genome sequence for ~15 bacteria, s. cerevisiae, and the near completion of the C. elegans genome. New insights into the biological functions and evolution of these organi sms has been gained from this information. A new qualitatively different kind of analysis is possible with complete genome sequence data - that is, the evaluation of apparently missing genes and the potential consequences of their loss on the biology of the organism. To systematically identify potentially missing genes one must first classify genes from a number of organisms into groups of orthologs. Orthologs are genes from different organisms derived from the same g ene in the closest common ancestor of these organisms. They are thus the genes most likely to perform biologically similar functions and ofte n share the greatest sequence similarity. Once these classifications are made, one simply examines the phylogenetic pattern in the ortholog groups to identify potentially lost genes in the studied organism as compared to the reference organisms. - molecular evolution, protein families

DNA测序技术的最新进展导致了〜15个细菌的整个基因组序列的测定。酿酒酵母，以及秀丽隐杆线虫基因组的接近完成。从这些信息中获得了对这些有机SMS的生物学功能和演变的新见解。通过完整的基因组序列数据可以进行新的定性分析，即对看来缺失基因的评估以及它们对生物体生物学的损失的潜在后果。要系统地识别潜在缺失的基因，必须首先将许多生物的基因分类为直系同源物组。直系同源物是来自这些生物最接近的祖先中同一g eNE的不同生物体的基因。因此，它们是最有可能执行生物学相似功能的基因，并且通常具有最大的序列相似性。一旦进行了这些分类，就可以简单地检查直系同源群中的系统发育模式，以鉴定研究生物体中潜在损失的基因与参考生物相比。 - 分子进化，蛋白质家族