School of Life Sciences, University of Hyderabad, Hyderabad 500 046, India.
Plant Methods. 2009 Dec 10;5:18. doi: 10.1186/1746-4811-5-18.
The data generated during a course of a biological experiment/study can be sometimes be massive and its management becomes quite critical for the success of the investigation undertaken. The accumulation and analysis of such large datasets often becomes tedious for biologists and lab technicians. Most of the current phenotype data acquisition management systems do not cater to the specialized needs of large-scale data analysis. The successful application of genomic tools/strategies to introduce desired traits in plants requires extensive and precise phenotyping of plant populations or gene bank material, thus necessitating an efficient data acquisition system.
Here we describe newly developed software "PHENOME" for high-throughput phenotyping, which allows researchers to accumulate, categorize, and manage large volume of phenotypic data. In this study, a large number of individual tomato plants were phenotyped with the "PHENOME" application using a Personal Digital Assistant (PDA) with built-in barcode scanner in concert with customized database specific for handling large populations.
The phenotyping of large population of plants both in the laboratory and in the field is very efficiently managed using PDA. The data is transferred to a specialized database(s) where it can be further analyzed and catalogued. The "PHENOME" aids collection and analysis of data obtained in large-scale mutagenesis, assessing quantitative trait loci (QTLs), raising mapping population, sampling of several individuals in one or more ecological niches etc.
生物实验/研究过程中产生的数据有时可能非常庞大，其管理对于所进行调查的成功至关重要。此类大型数据集的积累和分析往往令生物学家和实验室技术人员感到繁琐。大多数当前的表型数据采集管理系统无法满足大规模数据分析的特殊需求。基因组工具/策略的成功应用需要对植物群体或基因库材料进行广泛而精确的表型分析，因此需要一个高效的数据采集系统。
在这里，我们描述了新开发的软件“PHENOME”，用于高通量表型分析，它允许研究人员积累、分类和管理大量表型数据。在这项研究中，使用内置条码扫描仪的个人数字助理 (PDA) 与特定于处理大群体的定制数据库一起，使用“PHENOME”应用程序对大量个体番茄植物进行了表型分析。
使用 PDA 可以非常有效地管理实验室和田间大量植物群体的表型分析。数据被传输到专门的数据库中，可以进一步进行分析和编目。“PHENOME”有助于收集和分析大规模诱变、评估数量性状位点 (QTL)、提高作图群体、在一个或多个生态位中对多个个体进行采样等获得的数据。
