首站-论文投稿智能助手
典型文献
Microbial Dark Matter:from Discovery to Applications
文献摘要:
With the rapid increase of the microbiome samples and sequencing data,more and more knowledge about microbial communities has been gained.However,there is still much more to learn about microbial communities,including billions of novel species and genes,as well as count-less spatiotemporal dynamic patterns within the microbial communities,which together form the microbial dark matter.In this work,we summarized the dark matter in microbiome research and reviewed current data mining methods,especially artificial intelligence(AI)methods,for different types of knowledge discovery from microbial dark matter.We also provided case studies on using AI methods for microbiome data mining and knowledge discovery.In summary,we view microbial dark matter not as a problem to be solved but as an opportunity for AI methods to explore,with the goal of advancing our understanding of microbial communities,as well as developing better solu-tions to global concerns about human health and the environment.
文献关键词:
作者姓名:
Yuguo Zha;Hui Chong;Pengshuo Yang;Kang Ning
作者机构:
MOE Key Laboratory of Molecular Biophysics,Hubei Key Laboratory of Bioinformatics and Molecular-imaging,Center of Artificial Intelligence Biology,Department of Bioinformatics and Systems Biology,College of Life Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
引用格式:
[1]Yuguo Zha;Hui Chong;Pengshuo Yang;Kang Ning-.Microbial Dark Matter:from Discovery to Applications)[J].基因组蛋白质组与生物信息学报(英文版),2022(05):867-881
A类:
B类:
Microbial,Dark,Matter,from,Discovery,Applications,With,rapid,increase,microbiome,samples,sequencing,data,more,knowledge,about,microbial,communities,has,been,gained,However,there,still,much,learn,including,billions,novel,species,genes,well,count,less,spatiotemporal,dynamic,patterns,within,which,together,form,dark,matter,In,this,work,summarized,research,reviewed,current,mining,methods,especially,artificial,intelligence,different,types,discovery,We,also,provided,case,studies,using,summary,not,problem,solved,but,opportunity,explore,goal,advancing,our,understanding,developing,better,solu,global,concerns,human,health,environment
AB值:
0.577817
相似文献
Energy Theft Detection in Smart Grids:Taxonomy,Comparative Analysis,Challenges,and Future Research Directions
Mohsin Ahmed;Abid Khan;Mansoor Ahmed;Mouzna Tahir;Gwanggil Jeon;Giancarlo Fortino;Francesco Piccialli-Department of Computer Science,COMSATS University Islamabad,Islamabad 44000,Pakistan;Department of Computer Science,School of Computing,Engineering and Digital Technologies,Teesside University,Tees Valley TS1 3BX,United Kingdom;Innovative Value Institute,Maynooth University,Maynooth W23 F2K8,Ireland;Department of Computer Science,Bahria University,Lahore 54782,Pakistan;School of Electronic Engineering,Xidian University,Xi'an 710071,China;Department of Embedded Systems Engineering,Incheon National University,Incheon 22012,Korea;Department of Informatics,Modeling,Electronics and Systems,University of Calabria,Rende,CS 87036,Italy;Department of Mathematics and Applications"R.Caccioppoli",University of Naples Federico Ⅱ,Napoli 80138,Italy
Efficient Visual Recognition:A Survey on Recent Advances and Brain-inspired Methodologies
Yang Wu;Ding-Heng Wang;Xiao-Tong Lu;Fan Yang;Man Yao;Wei-Sheng Dong;Jian-Bo Shi;Guo-Qi Li-Applied Research Center Laboratory,Tencent Platform and Content Group,Shenzhen 518057,China;School of Automation Science and Engineering,Faculty of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China;School of Artificial Intelligence,Xidian University,Xi'an 710071,China;Division of Information Science,Nara Institute of Science and Technology,Nara 6300192,Japan;Peng Cheng Laboratory,Shenzhen 518000,China;Department of Computer and Information Science,University of Pennsylvania,Philadelphia PA 19104-6389,USA;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100190,China
Responses of Soil Bacterial Diversity to Fertilization are Driven by Local Environmental Context Across China
Youzhi Feng;Manuel Delgado-Baquerizo;Yongguan Zhu;Xiaozeng Han;Xiaori Han;Xiuli Xin;Wei Li;Zhibing Guo;Tinghui Dang;Chenhua Li;Bo Zhu;Zejiang Cai;Damning Li;Jiabao Zhang-State Key Laboratory of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences,Nanjing 210008,China;Department of Physical,Chemical,and Natural Systems,Pablo de Olavide University,Sevilla 41013,Spain;State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,China;National Observation Station of the Hailun Agroecology System,Key Laboratory of Mollisols Agroecology,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin 130102,China;College of Land and Environment,National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources,Shenyang Agricultural University,Shenyang 110866,China;Crop Research Institute,Anhui Academy of Agricultural Sciences,Hefei 230001,China;Soil and Fertilizer Research Institute,Anhui Academy of Agricultural Sciences,Hefei 230001,China;Institute of Soil and Water Conservation,Northwest A&F University,Chinese Academy of Science&Ministry of Water Resources,Yangling 712100,China;Fukang Station of Desert Ecology,Key Laboratory of Oasis Ecology and Desert Environment,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;Key Laboratory of Mountain Environment Evolvement and Regulation,Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;Qiyang Agroecosystem of the National Field Experimental Station,Yongzhou 426199,China;National Engineering Laboratory for Improving the Quality of Arable Land,Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Jiangxi Institute of Red Soil,Nanchang 331717,China
Reconstruction and Dynamics of the Human Intestinal Microbiome Observed In Situ
Xiaolin Liu;Min Dai;Yue Ma;Na Zhao;Ziyu Wang;Ying Yu;Yakun Xu;Huijie Zhang;Liyuan Xiang;He Tian;Guanghou Shui;Faming Zhang;Jun Wang-CAS Key Laboratory of Pathogenic Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;Medical Center for Digestive Diseases,the Second Affiliated Hospital of Nanjing Medical University,Nanjing 210011,China;Clinical Trial Center Office,the Second Affiliated Hospital of Nanjing Medical University,Nanjing 210011,China;State Key Laboratory of Molecular Developmental Biology,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101,China;Key Lab of Holistic Integrative Enterology,Nanjing Medical University,Nanjing 210011,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。