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Search Results: 1 - 3 of 3 matches for " Pichaya Tandayya "
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ParallABEL: an R library for generalized parallelization of genome-wide association studies
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun Chantratita, Pichaya Tandayya, Yurii S Aulchenko
BMC Bioinformatics , 2010, DOI: 10.1186/1471-2105-11-217
Abstract: Most components of GWA analysis can be divided into four groups based on the types of input data and statistical outputs. The first group contains statistics computed for a particular Single Nucleotide Polymorphism (SNP), or trait, such as SNP characterization statistics or association test statistics. The input data of this group includes the SNPs/traits. The second group concerns statistics characterizing an individual in a study, for example, the summary statistics of genotype quality for each sample. The input data of this group includes individuals. The third group consists of pair-wise statistics derived from analyses between each pair of individuals in the study, for example genome-wide identity-by-state or genomic kinship analyses. The input data of this group includes pairs of SNPs/traits. The final group concerns pair-wise statistics derived for pairs of SNPs, such as the linkage disequilibrium characterisation. The input data of this group includes pairs of individuals. We developed the ParallABEL library, which utilizes the Rmpi library, to parallelize these four types of computations. ParallABEL library is not only aimed at GenABEL, but may also be employed to parallelize various GWA packages in R. The data set from the North American Rheumatoid Arthritis Consortium (NARAC) includes 2,062 individuals with 545,080, SNPs' genotyping, was used to measure ParallABEL performance. Almost perfect speed-up was achieved for many types of analyses. For example, the computing time for the identity-by-state matrix was linearly reduced from approximately eight hours to one hour when ParallABEL employed eight processors.Executing genome-wide association analysis using the ParallABEL library on a computer cluster is an effective way to boost performance, and simplify the parallelization of GWA studies. ParallABEL is a user-friendly parallelization of GenABEL.GWA analysis [1] is a well established and powerful method for identifying loci associated with variations of c
Development of criterion weights for preliminary site selection: A pilot project of Supanburi industrial estate
Pichaya Rachdawong,Sunee Apawootichai
Songklanakarin Journal of Science and Technology , 2003,
Abstract: A generalized framework for criterion weights development was proposed for a pilot project of Supanburi industrial estate for light industries. It encompassed selection of criteria, questionnaire design, data collection, and data analysis. Relative or comparative importance matrix of the six factors was created from the summary of the data from expert survey. Pairwise comparison matrix was subsequently computed to reduce the data dimension and to highlight the relative importance of each factor prior to weight extraction. The highest weight was the distance to water bodies, which emphasized the importance given to natural features by experts. The framework should ease and enable adoption of multi-criteria decision-making technique for other cases of preliminary industrial estate site selection. Care must also be exercised to ensure the adequacy of quantities and quality of survey made as well as of data analysis protocol.
Effects of chitosan and citric acid on pericarp browning and polyphenol oxidase activity of longan fruit
Wittaya Apai,Vicha Sardsud,Pichaya Boonprasom,Uraporn Sardsud
Songklanakarin Journal of Science and Technology , 2010,
Abstract: This research was designed to study the effects of chitosan and citric acid (CA) on pericarp browning and polyphenol oxidase (PPO) activity of longan fruit. The experiment was conducted by dipping longan fruit in 1.2% (w/v) chitosan coating solution containing 1.0% CA (pH 3.3) for 2 min, in 1.0% CA solution (pH 2.6) for 2 min, and in distilled water for 2 min as a control. The treated fruits in each treatment were then packaged in a foam tray, wrapped with 11 μm PVC film and stored at 5°C, 95% RH for 27 days. Pericarp browning, pericarp color, pericarp pH, titratable acidity (TA), weight loss, polyphenol oxidase (PPO) activity, and total phenol were monitored during storage. The results revealed that interaction betweenchitosan and CA demonstrated the best treatment in postponement of pericarp browning, which was indicated by the lowest browning index and high L* value, chroma, and hue angle. Based on browning index, the fruits treated with citric acid alone and the control fruits were not acceptable after 20 days, which those treated with both CA and chitosan were still acceptable after 27 days of storage. TA had a correlation with the pericarp pH and browning index. Chitosan mixed with citric acid exhibited a higher efficacy in preventing TA degradation in pericarp and maintaining low pericarp pH, compared to 1.0% CA treatment. In addition, low PPO activity and high total phenol content were found when CA was applied in combination withchitosan during storage.
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