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作者机构:Argonne National Laboratory Argonne USA Department of Ecology and Evolution University of Chicago Chicago USA College of Engineering Michigan State University East Lansing USA Department of Microbiology and Cell Science University of Florida Gainesville USA Department of Evolution and Ecology University of California Davis USA DOE Joint Genome Institute Walnut Creek USA Illumina Saffron Walden UK NERC Centre for Ecology and Hydrology UK Department of Computer Science and Department of Electrical & Computer Engineering Virginia Tech Blacksburg USA Department of Cancer Biology and Translational Science Institute Wake Forest University Winston-Salem USA Center for Bioinformatics ZBIT Tübingen University Tübingen Germany Earth Sciences Division Lawrence Berkeley National Laboratory Berkeley USA Department of Chemistry and Biochemistry Boulder USA Roche-454 Branford USA Seattle Children’s Hospital Seattle USA School of Civil and Environmental Engineering and School of Biology Georgia Institute of Technology Atlanta USA The Florida State University Tallahassee USA Department of Algorithmic Bioinformatics Heinrich-Heine University Düsseldorf Germany Max-Planck Research Group for Computational Genomics and Epidemiology Max-Planck-Institut fur Informatik Saarbrücken Germany Department of Civil Engineering University of Glasgow Glasgow UK Department of Molecular and Cellular Interactions VIB - University of Brussels Brussels Belgium Department of Molecular Cellular and Developmental Biology Yale University New Haven USA
出 版 物:《Standards in genomic sciences》
年 卷 期:2010年第3卷第3期
页 面:243-8页
学科分类:0710[理学-生物学] 07[理学] 09[农学] 071007[理学-遗传学] 0901[农学-作物学] 090102[农学-作物遗传育种]
主 题:Microbial Community Microbial Genome Metabolic Flux Analysis Metagenomic Data Human Microbiome Project
摘 要:Between July 18(th) and 24(th) 2010, 26 leading microbial ecology, computation, bioinformatics and statistics researchers came together in Snowbird, Utah (USA) to discuss the challenge of how to best characterize the microbial world using next-generation sequencing technologies. The meeting was entitled Terabase Metagenomics and was sponsored by the Institute for Computing in Science (ICiS) summer 2010 workshop program. The aim of the workshop was to explore the fundamental questions relating to microbial ecology that could be addressed using advances in sequencing potential. Technological advances in next-generation sequencing platforms such as the Illumina HiSeq 2000 can generate in excess of 250 billion base pairs of genetic information in 8 days. Thus, the generation of a trillion base pairs of genetic information is becoming a routine matter. The main outcome from this meeting was the birth of a concept and practical approach to exploring microbial life on earth, the Earth Microbiome Project (EMP). Here we briefly describe the highlights of this meeting and provide an overview of the EMP concept and how it can be applied to exploration of the microbiome of each ecosystem on this planet.