Annotation of environmental OMICS data: Application to the transcriptomics domain

被引:12
作者
Morrison, Norman [1 ]
Wood, A. Joseph
Hancock, David
Shah, Sonia
Hakes, Luke
Gray, Tanya
Tiwari, Bela
Kille, Peter
Cossins, Andrew
Hegarty, Matthew
Allen, Michael J.
Wilson, William H.
Olive, Peter
Last, Kim
Kramer, Cas
Bailhache, Thierry
Reeves, Jonathan
Pallett, Denise
Warne, Justin
Nashar, Karim
Parkinson, Helen
Sansone, Susanna-Assunta
Rocca-Serra, Philippe
Stevens, Robert
Snape, Jason
Brass, Andy
Field, Dawn
机构
[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
[2] Oxford Ctr Ecol & Hydrol, NERC, Environm Bioinformat Ctr, Oxford, England
[3] UCL, Dept Comp Sci, London, England
[4] Univ Manchester, Fac Life Sci, Manchester, Lancs, England
[5] Cardiff Univ, Sch Biosci, Cardiff, Wales
[6] Univ Liverpool, Sch Biol Sci, Liverpool L69 3BX, Merseyside, England
[7] Univ Bristol, Sch Biol Sci, Bristol, Avon, England
[8] Plymouth Marine Lab, Plymouth, Devon, England
[9] Univ Newcastle, Sch Marine Sci & Technol, Newcastle Upon Tyne, Tyne & Wear, England
[10] Univ Leicester, Dept Genet, Leicester, Leics, England
[11] Oxford Ctr Ecol & Hydrol, Oxford, England
[12] European Bioinformat Inst, Cambridge, England
[13] AstraZeneca, Brixham Environm Lab, Devon, England
基金
英国自然环境研究理事会;
关键词
D O I
10.1089/omi.2006.10.172
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Researchers working on environmentally relevant organisms, populations, and communities are increasingly turning to the application of OMICS technologies to answer fundamental questions about the natural world, how it changes over time, and how it is influenced by anthropogenic factors. In doing so, the need to capture meta-data that accurately describes the biological "source" material used in such experiments is growing in importance. Here, we provide an overview of the formation of the "Env" community of environmental OMICS researchers and its efforts at considering the meta-data capture needs of those working in environmental OMICS. Specifically, we discuss the development to date of the Env specification, an informal specification including descriptors related to geographic location, environment, organism relationship, and phenotype. We then describe its application to the description of environmental transcriptomic experiments and how we have used it to extend the Minimum Information About a Microarray Experiment (MIAME) data standard to create a domain-specific extension that we have termed MIAME/Env. Finally, we make an open call to the community for participation in the Env Community and its future activities. This paper is part of the special issue of OMICS on data standards.
引用
收藏
页码:172 / 178
页数:7
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