期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
计算机与人工智能在分子生物学数据分析方面的应用
1
作者 黄碧娜 《分子植物育种》 CAS 北大核心 2024年第10期3195-3203,共9页
本研究旨在探索计算机与人工智能在分子生物学数据分析中的应用,强调了各类分子生物学数据的特征与挑战,以及计算机在数据存储管理、预处理与清洗、数据可视化等方面的关键作用。本研究详细探讨了人工智能技术在基因组学、转录组学和蛋... 本研究旨在探索计算机与人工智能在分子生物学数据分析中的应用,强调了各类分子生物学数据的特征与挑战,以及计算机在数据存储管理、预处理与清洗、数据可视化等方面的关键作用。本研究详细探讨了人工智能技术在基因组学、转录组学和蛋白质组学中的应用,着重于机器学习、深度学习和强化学习在基因功能预测、RNA结构预测以及蛋白质结构预测等领域的贡献。在挑战与未来方向方面,突出了数据隐私、伦理问题、数据复杂性和多样性的挑战,以及未来研究方向如整合多层次数据、动态系统建模、个性化医学应用等。计算机在分子生物学研究中有着十分广泛的应用,已经成为一门新兴的交叉学科,对未来的生物医学研究和应用具有一定的借鉴意义。 展开更多
关键词 多样性分子生物学 人工智能 计算机 数据分析 生物信息学
原文传递
Effects of Nutrients on Biofouling Formation and Preponderant Bacteria Diversity in Recirculating Cooling Water System 被引量:2
2
作者 Ma Tao Liu Fang +1 位作者 Zhang Guizhi Zhao Chaocheng (College of Chemistry and Chemical Engineering,China University of Petroleum,Qingdao 266555) 《China Petroleum Processing & Petrochemical Technology》 SCIE CAS 2010年第4期57-62,共6页
A series of orthogonal array experiments were conducted using carbon source, ammonia nitrogen and total phosphorus (TP) as major influencing factors to investigate the effects of nutrients on biofouling formation an... A series of orthogonal array experiments were conducted using carbon source, ammonia nitrogen and total phosphorus (TP) as major influencing factors to investigate the effects of nutrients on biofouling formation and preponderant bacteria diversity in the recirculatiug cooling water system. Carbon source was demonstrated to be the most significant determinant affecting the biofouling formation. A minimum biofouling outcome was obtained when BOD2, NHa+-N and TP were 25, 10, and 1 mg/L, respectively. Then the preponderant bacteria strains in biofouling mass under two typical culture conditions (negative and favorable) were identified applying both traditional biochemical methods and further molecular biology technology with phylogenetic affiliation analysis, which indicated that Enterobacteriaceae Enterobacter, Micrococcaceae Staphylococcus, Bacillaceae Bacillus, Enterobacteriaceae Proteus, Neisseriaceae Neisseria and Pseudomonadaceae Pseudomonas were dominant under negative condition, while Enterobacteriaceae Klebsiella, Enterobacteriaceae Enterobacter and Microbacterium - under favorable one. 展开更多
关键词 recirculating cooling water BIOFOULING numerical analysis polymerase chain reaction
下载PDF
Tracing Changes in the Microbial Community of a Hydrocarbon-Polluted Soil by Culture-Dependent Proteomics 被引量:1
3
作者 F.BASTIDA C.NICOLS +2 位作者 J.L.MORENO T.HERNNDEZ C.GARCIA 《Pedosphere》 SCIE CAS CSCD 2010年第4期479-485,共7页
Hydrocarbon contamination may affect the soil microbial community, in terms of both diversity and function. A laboratory experiment was set-up, with a semi-arid control soil and the same soil but artificially contamin... Hydrocarbon contamination may affect the soil microbial community, in terms of both diversity and function. A laboratory experiment was set-up, with a semi-arid control soil and the same soil but artificially contaminated with diesel oil, to follow changes in the dominant species of the microbial community in the hydrocarbon-polluted soil via proteomics. Analysis of the proteins extracted from enriched cultures growing in Luria-Bertani (LB) media showed a change in the microbial community. The majority of the proteins were related to gIycolysis pathways, structural or protein synthesis. The results showed a relative increase in the complexity of the soil microbial community with hydrocarbon contamination, especially after 15 days of incubation. Species such as Ralstonia solanacearum, Synechococcus elongatus and different Clostridium sp. were adapted to contamination, not appearing in the control soil, although Bacillus sp. dominated the growing in LB in any of the treatments. We conclude that the identification of microbial species in soil extracts by culture-dependent proteomics is able to partially explain the changes in the diversity of the soil microbial community in hydrocarbon polluted semi-arid soils, but this information is much more limited than that provided by molecular methods. 展开更多
关键词 culture dependent hydrocarbon contamination microbial diversity PROTEOMICS semiarid soil
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部