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Image Search Results
Journal: Hematology, Transfusion and Cell Therapy
Article Title: Methods for blood group antigens detection: cost-effectiveness analysis of phenotyping and genotyping
doi: 10.1016/j.htct.2018.06.006
Figure Lengend Snippet: Stages of the Microarray technique, HEA BeadChipTM platform.
Article Snippet: The
Techniques: Microarray
Journal: Hematology, Transfusion and Cell Therapy
Article Title: Methods for blood group antigens detection: cost-effectiveness analysis of phenotyping and genotyping
doi: 10.1016/j.htct.2018.06.006
Figure Lengend Snippet: Cost (A) and time (B) necessary to perform the identification of the antigens of the RHCE, Kell, Kidd and Duffy blood group systems by immunophenotyping, PCR-SSP, PCR-RFLP and Microarray.
Article Snippet: The
Techniques: Microarray
Journal: Genome Biology
Article Title: ArrayPlex: distributed, interactive and programmatic access to genome sequence, annotation, ontology, and analytical toolsets
doi: 10.1186/gb-2008-9-11-r159
Figure Lengend Snippet: Result file batch quality visualization. The GenePix Results File Charting section of the ArrayPlex client contains extensive resources for the statistical and visual processing of GenePix Results files (GPR). Batch production of quantitative visualizations such as MA plots, scatter-plots, and spot-metric histograms are possible. All graphs can be exported as JPG-formatted images in batch mode to a given folder and browsed using the standard thumbnail capability of the client operating system. This provides the capacity to screen for a number of data quality attributes in large sets of DNA microarray experiments.
Article Snippet: While ArrayPlex provides features common to many commonly utilized
Techniques: Microarray
Journal: Genome Biology
Article Title: ArrayPlex: distributed, interactive and programmatic access to genome sequence, annotation, ontology, and analytical toolsets
doi: 10.1186/gb-2008-9-11-r159
Figure Lengend Snippet: Result file normalization. The GenePix Results File Normalization section of the ArrayPlex client provides varied resources for the normalization of GenePix Results files (GPR). Positive control, negative control, and global median normalization options are available. Configurable statistical filters provide the capacity to threshold spot quality in the selection of microarray spots used to determine normalization coefficients. Export of normalized datasets is in the same format as that of the input data (GPR). This allows ArrayPlex to be part of a flexible pipeline of data analysis and processing.
Article Snippet: While ArrayPlex provides features common to many commonly utilized
Techniques: Positive Control, Negative Control, Selection, Microarray
Journal: Genome Biology
Article Title: ArrayPlex: distributed, interactive and programmatic access to genome sequence, annotation, ontology, and analytical toolsets
doi: 10.1186/gb-2008-9-11-r159
Figure Lengend Snippet: Result file aggregation, filtering, and data extraction. The GenePix Results File Group Analysis section of the ArrayPlex client allows for the aggregation of individual microarray datasets ( GenePix Results files) into named and dynamically loadable file groups. A loaded file group can be interactively filtered through logical combination of spot-metric filters. Filter toggling can be used to dynamically determine the relative contribution of individual filters on the sum total of spots excluded for each microarray experiment in a file group. Once appropriate filters have been determined, datasets are matrix-exportable for any of the dozens of GenePix Result File spot metrics.
Article Snippet: While ArrayPlex provides features common to many commonly utilized
Techniques: Extraction, Microarray