The Experts below are selected from a list of 1908 Experts worldwide ranked by ideXlab platform
Georg Kapperud - One of the best experts on this subject based on the ideXlab platform.
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multiple locus variable number tandem repeats analysis of salmonella enterica subsp enterica serovar typhimurium using pcr multiplexing and multicolor capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg Kapperud, Lena AasAbstract:The multiple-locus variable-number tandem-repeats analysis (MLVA) method is currently being used as the primary typing tool for Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) isolates in our laboratory. Our published initial MLVA was performed using a single fluorescent dye and the different patterns were assigned from gel images. Here we present a new and significantly improved assay using multiple dye colors, enhanced PCR multiplexing and the introduction of two new loci for better adaptation to capillary electrophoresis with increased speed. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from gel images. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. A total of 106 human, bird, animal and food isolates of S. Typhimurium, including 16 with definite type (DT) 104, were used for the development of the improved MLVA. The method is based on capillary separation of multiplexed PCR products from five VNTR loci in the S. Typhimurium genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned allele numbers, which were used for strain comparison.
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multiple locus variable number tandem repeats analysis of escherichia coli o157 using pcr multiplexing and multi colored capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg KapperudAbstract:The Multiple-Locus Variable-Number Tandem-Repeats Analysis (MLVA) method is currently being used as the primary typing tool for Shiga-toxin-producing Escherichia coli (STEC) O157 isolates in our laboratory. The initial assay was performed using a single fluorescent dye and the different patterns were assigned using a gel image. Here, we present a significantly improved assay using multiple dye colors and enhanced PCR multiplexing to increase speed, and ease the interpretation of the results. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from the gel image. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. Seventy-two human and animal strains of Shiga-toxin-producing E. coli O157 were used for the development of the improved MLVA assay. The method is based on capillary separation of multiplexed PCR products of VNTR loci in the E. coli O157 genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned to allele numbers, which were used for strain comparison.
Bjornarne Lindstedt - One of the best experts on this subject based on the ideXlab platform.
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multiple locus variable number tandem repeats analysis of salmonella enterica subsp enterica serovar typhimurium using pcr multiplexing and multicolor capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg Kapperud, Lena AasAbstract:The multiple-locus variable-number tandem-repeats analysis (MLVA) method is currently being used as the primary typing tool for Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) isolates in our laboratory. Our published initial MLVA was performed using a single fluorescent dye and the different patterns were assigned from gel images. Here we present a new and significantly improved assay using multiple dye colors, enhanced PCR multiplexing and the introduction of two new loci for better adaptation to capillary electrophoresis with increased speed. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from gel images. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. A total of 106 human, bird, animal and food isolates of S. Typhimurium, including 16 with definite type (DT) 104, were used for the development of the improved MLVA. The method is based on capillary separation of multiplexed PCR products from five VNTR loci in the S. Typhimurium genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned allele numbers, which were used for strain comparison.
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multiple locus variable number tandem repeats analysis of escherichia coli o157 using pcr multiplexing and multi colored capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg KapperudAbstract:The Multiple-Locus Variable-Number Tandem-Repeats Analysis (MLVA) method is currently being used as the primary typing tool for Shiga-toxin-producing Escherichia coli (STEC) O157 isolates in our laboratory. The initial assay was performed using a single fluorescent dye and the different patterns were assigned using a gel image. Here, we present a significantly improved assay using multiple dye colors and enhanced PCR multiplexing to increase speed, and ease the interpretation of the results. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from the gel image. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. Seventy-two human and animal strains of Shiga-toxin-producing E. coli O157 were used for the development of the improved MLVA assay. The method is based on capillary separation of multiplexed PCR products of VNTR loci in the E. coli O157 genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned to allele numbers, which were used for strain comparison.
Traute Vardund - One of the best experts on this subject based on the ideXlab platform.
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multiple locus variable number tandem repeats analysis of salmonella enterica subsp enterica serovar typhimurium using pcr multiplexing and multicolor capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg Kapperud, Lena AasAbstract:The multiple-locus variable-number tandem-repeats analysis (MLVA) method is currently being used as the primary typing tool for Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) isolates in our laboratory. Our published initial MLVA was performed using a single fluorescent dye and the different patterns were assigned from gel images. Here we present a new and significantly improved assay using multiple dye colors, enhanced PCR multiplexing and the introduction of two new loci for better adaptation to capillary electrophoresis with increased speed. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from gel images. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. A total of 106 human, bird, animal and food isolates of S. Typhimurium, including 16 with definite type (DT) 104, were used for the development of the improved MLVA. The method is based on capillary separation of multiplexed PCR products from five VNTR loci in the S. Typhimurium genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned allele numbers, which were used for strain comparison.
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multiple locus variable number tandem repeats analysis of escherichia coli o157 using pcr multiplexing and multi colored capillary electrophoresis
Journal of Microbiological Methods, 2004Co-Authors: Bjornarne Lindstedt, Traute Vardund, Georg KapperudAbstract:The Multiple-Locus Variable-Number Tandem-Repeats Analysis (MLVA) method is currently being used as the primary typing tool for Shiga-toxin-producing Escherichia coli (STEC) O157 isolates in our laboratory. The initial assay was performed using a single fluorescent dye and the different patterns were assigned using a gel image. Here, we present a significantly improved assay using multiple dye colors and enhanced PCR multiplexing to increase speed, and ease the interpretation of the results. The different MLVA patterns are now based on allele sizes entered as character values, thus removing the uncertainties introduced when analyzing band patterns from the gel image. We additionally propose an easy Numbering Scheme for the identification of separate isolates that will facilitate exchange of typing data. Seventy-two human and animal strains of Shiga-toxin-producing E. coli O157 were used for the development of the improved MLVA assay. The method is based on capillary separation of multiplexed PCR products of VNTR loci in the E. coli O157 genome labeled with multiple fluorescent dyes. The different alleles at each locus were then assigned to allele numbers, which were used for strain comparison.
Chinwan Chung - One of the best experts on this subject based on the ideXlab platform.
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rfid data processing in supply chain management using a path encoding Scheme
IEEE Transactions on Knowledge and Data Engineering, 2011Co-Authors: Chunhee Lee, Chinwan ChungAbstract:RFID technology can be applied to a broad range of areas. In particular, RFID is very useful in the area of business, such as supply chain management. However, the amount of RFID data in such an environment is huge. Therefore, much time is needed to extract valuable information from RFID data for supply chain management. In this paper, we present an efficient method to process a massive amount of RFID data for supply chain management. We first define query templates to analyze the supply chain. We then propose an effective path encoding Scheme that encodes the flows of products. However, if the flows are long, the numbers in the path encoding Scheme that correspond to the flows will be very large. We solve this by providing a method that divides flows. To retrieve the time information for products efficiently, we utilize a Numbering Scheme for the XML area. Based on the path encoding Scheme and the Numbering Scheme, we devise a storage Scheme that can process tracking queries and path oriented queries efficiently on an RDBMS. Finally, we propose a method that translates the queries to SQL queries. Experimental results show that our approach can process the queries efficiently.
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efficient storage Scheme and query processing for supply chain management using rfid
International Conference on Management of Data, 2008Co-Authors: Chunhee Lee, Chinwan ChungAbstract:As the size of an RFID tag becomes smaller and the price of the tag gets lower, RFID technology has been applied to a wide range of areas. Recently, RFID has been adopted in the business area such as supply chain management. Since companies can get movement information for products easily using the RFID technology, it is expected to revolutionize supply chain management. However, the amount of RFID data in supply chain management is huge. Therefore, it requires much time to extract valuable information from RFID data for supply chain management. In this paper, we define query templates for tracking queries and path oriented queries to analyze the supply chain. We then propose an effective path encoding Scheme to encode the flow information for products. To retrieve the time information for products efficiently, we utilize a Numbering Scheme used in the XML area. Based on the path encoding Scheme and the Numbering Scheme, we devise a storage Scheme to process tracking queries and path oriented queries efficiently. Finally, we propose a method which translates the queries to SQL queries. Experimental results show that our approach can process the queries efficiently. On the average, our approach is about 680 times better than a recent technique in terms of query performance.
Andreas Plückthun - One of the best experts on this subject based on the ideXlab platform.
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Yet Another Numbering Scheme for Immunoglobulin Variable Domains: An Automatic Modeling and Analysis Tool
Journal of Molecular Biology, 2001Co-Authors: Annemarie Honegger, Andreas PlückthunAbstract:A common residue Numbering Scheme for all immunoglobulin variable domains (immunoglobulin light chain lambda (V(lambda)) and kappa (V(kappa)) variable domains, heavy chain variable domains (V(H)) and T-cell receptor alpha (V(alpha)), beta (V(beta)), gamma (V(gamma)) and delta (V(delta)) variable domains) has been devised. Based on the spatial alignment of known three-dimensional structures of immunoglobulin domains, it places the alignment gaps in a way that minimizes the average deviation from the averaged structure of the aligned domains. This residue Numbering Scheme was applied to the immunoglobulin variable domain structures in the PDB database to automate the extraction of information on structural variations in homologous positions of the different molecules. A number of methods are presented that allow the automated projection of information derived from individual structures or from the comparison of multi-structure alignments onto a graphical representation of the sequence alignment.
