Abstract
During many biological experiments voluminous data is acquired, which can be best collected with portable data acquisition devices and later analyzed with a personal computer (PC). Public domain software catering to data acquisition and analysis is currently limited. The necessity of phenotyping large plant populations led to the development of the application “PHENOME” to manage the data. PHENOME allows acquisition of phenotypic data using a personal digital assistant (PDA) with a built-in barcode scanner. The acquired data can be exported to a customized database on a PC for further analysis and cataloging. PHENOME can be used for a variety of applications, for example high-throughput phenotyping of a mutagenized or mapping population, or phenotyping of several individuals in one or more ecological niches.
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References
Bouch N, Bouchez D (2007) Arabidopsis gene knockout: phenotypes wanted. Curr Opin Plant Biol 4:222–227
Lussier Y, Liu Y (2007) Computational approaches to phenotyping high-throughput phenomics. Proc Am Thorac Soc 4:18–25
Exner V et al (2008) PlantDB—a versatile database for managing plant research. Plant Methods. doi:10.1186/1746-4811-4-1
Donofrio N et al (2005) ‘PACLIMS’: a component LIM system for high-throughput functional genomic analysis. BMC Bioinformatics 6:94. doi:10.1186/1471-2105-6-94
Rieger R, Gay G (1997) Using mobile computing to enhance field study. In: Proceedings of CSCL 1997. Ontario Institute for Studies in Education, Toronto
Monto H, Kumagai PM (2006) Development of electronic barcodes for use in plant pathology. Plant Mol Biol 61:515–523
Shellhammer SJ, Katz J, Goldman R (1996) Method and apparatus to scan randomly oriented two-dimensional bar code symbols. US Patent 5,523,552
Leakha H et al (2008) RGMIMS: a web-based Laboratory Information Management System for plant functional genomics research. Mol Breeding 22:151–157
Vankadavath RN et al (2009) Computer aided data acquisition tool for high-throughput phenotyping of plant populations. Plant Methods. doi:10.1186/1746-4811-5-18
McCallum CM et al (2000) Targeted screening for induced mutations. Nat Biotechnol 18:455–457
McCallum CM et al (2000) Targeting induced local lesions IN genomes (TILLING) for plant functional genomics. Plant Physiol 123:439–442
Menda N et al (2004) In silico screening of a saturated mutation library of tomato. Plant J 38:861–872
Köhl KI et al (2008) A plant resource and experiment management system based on the Golm Plant Database as a basic tool for omics research. Plant Methods. doi:10.1186/1746-4811-4-11
Acknowledgments
The development of PHENOME software was supported by the Department of Biotechnology, New Delhi, India grant entitled “Genome wide screen for tomato mutants by TILLING.”
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Vankudavath, R.N., Bodanapu, R., Sreelakshmi, Y., Sharma, R. (2012). High-Throughput Phenotyping of Plant Populations Using a Personal Digital Assistant. In: Normanly, J. (eds) High-Throughput Phenotyping in Plants. Methods in Molecular Biology, vol 918. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-995-2_8
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DOI: https://doi.org/10.1007/978-1-61779-995-2_8
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