PlantDB - a versatile database for managing plant research

被引:17
作者
Exner, Vivien
Hirsch-Hoffmann, Matthias
Gruissem, Wilhelm
Hennig, Lars [1 ]
机构
[1] ETH, Inst Plant Sci, CH-8092 Zurich, Switzerland
关键词
D O I
10.1186/1746-4811-4-1
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Background: Research in plant science laboratories often involves usage of many different species, cultivars, ecotypes, mutants, alleles or transgenic lines. This creates a great challenge to keep track of the identity of experimental plants and stored samples or seeds. Results: Here, we describe PlantDB - a Microsoft (R) Office Access database - with a user-friendly front-end for managing information relevant for experimental plants. PlantDB can hold information about plants of different species, cultivars or genetic composition. Introduction of a concise identifier system allows easy generation of pedigree trees. In addition, all information about any experimental plant - from growth conditions and dates over extracted samples such as RNA to files containing images of the plants - can be linked unequivocally. Conclusion: We have been using PlantDB for several years in our laboratory and found that it greatly facilitates access to relevant information.
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页数:5
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