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microarray analysis suite 5.0 software package  (Thermo Fisher)


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    Thermo Fisher microarray analysis suite 5.0 software package
    Microarray Analysis Suite 5.0 Software Package, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/microarray+software+packages/genechip+microarray+suite+5+0/pm30277821-54-12-18
    Average 90 stars, based on 1 article reviews
    microarray analysis suite 5.0 software package - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Software:

    Article Title: Application of functional genomics in allergy and clinical immunology.
    Article Snippet: .. Several software packages were developed to collect and analyze data including Microarray suite (Affymetrix), GeneSpring (Silicon Genetics) or Partek Pro (Partek Inc.). .. Our group has found JMP software (SAS Institute Inc.) useful, whereas others are using SAS (SAS Institute Inc.), SPSS (SPSS Inc.) or standard MS Excel packages.

    Article Title: DNA microarray technology for target identification and validation.
    Article Snippet: Microarrays, a recent development, provide a revolutionary platform to analyse thousands of genes at once.. They have enormous potential in the study of biological processes in health and disease and, perhaps, microarrays have become crucial tools in diagnostic applications and drug discovery.. Microarray based studies have provided the essential impetus for biomedical experiments, such as identification of disease-causing genes in malignancies and regulatory genes in the cell cycle mechanism.

    Article Title: Comparative gene expression of intestinal metabolizing enzymes.
    Article Snippet: .. Data analysis was performed using different software packages including Microarray Suite (Affymetrix, Santa Clara, CA) and GeneSpring 6.2 (Silicon Genetics, Redwood City, CA). ..

    Microarray:

    Article Title: Application of functional genomics in allergy and clinical immunology.
    Article Snippet: .. Several software packages were developed to collect and analyze data including Microarray suite (Affymetrix), GeneSpring (Silicon Genetics) or Partek Pro (Partek Inc.). .. Our group has found JMP software (SAS Institute Inc.) useful, whereas others are using SAS (SAS Institute Inc.), SPSS (SPSS Inc.) or standard MS Excel packages.

    Article Title: DNA microarray technology for target identification and validation.
    Article Snippet: Microarrays, a recent development, provide a revolutionary platform to analyse thousands of genes at once.. They have enormous potential in the study of biological processes in health and disease and, perhaps, microarrays have become crucial tools in diagnostic applications and drug discovery.. Microarray based studies have provided the essential impetus for biomedical experiments, such as identification of disease-causing genes in malignancies and regulatory genes in the cell cycle mechanism.

    Article Title: Comparative gene expression of intestinal metabolizing enzymes.
    Article Snippet: .. Data analysis was performed using different software packages including Microarray Suite (Affymetrix, Santa Clara, CA) and GeneSpring 6.2 (Silicon Genetics, Redwood City, CA). ..

    other:

    Article Title: In Silico Bioinformatics Followed by Molecular Validation Using Archival FFPE Tissue Biopsies Identifies a Panel of Transcripts Associated with Severe Asthma and Lung Cancer
    Article Snippet: Briefly, the guanine cytosine Robust Multi-Array Analysis (gcRMA) and Affymetrix Microarray Suite 5 (MAS5) packages of the R Bioconductor statistical software version 3.6.3 were applied to normalize and remove the background noise. gcRMA and MAS5 expression values were used for the next nonspecific filtering based on the coefficient of variation (CV).

    Article Title: Identification and Characterization of Phenylpyruvate Decarboxylase Genes in Saccharomyces cerevisiae
    Article Snippet: Data analyses were performed with the following Affymetrix software packages: Microarray Suite v5.0, MicroDB v3.0, and Data Mining Tool v3.0.



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    A, Electrophoresis of whole serum (WS) or fractionated serum IgG derived from a systemic lupus erythematosus (SLE) patient (L) and a normal subject (N). Molecular weight marker (M) is shown at the right. B, Scatterplot of entire gene set considered by <t>microarray</t> analysis to be expressed in podocytes (P < 0.05). The position of each dot on the scatterplot corresponds to the normalized average signal intensity (log scale) of a single gene. The normalized average signal intensity after exposure to SLE IgG and normal IgG is shown on the x and y axes, respectively. Broken red lines represent normal IgG:SLE IgG ratios of 2.0 (top; 2-fold greater expression in normal IgG) and 0.5 (bottom; 2-fold greater expression in SLE IgG). Black broken line is the mean.
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    A, Electrophoresis of whole serum (WS) or fractionated serum IgG derived from a systemic lupus erythematosus (SLE) patient (L) and a normal subject (N). Molecular weight marker (M) is shown at the right. B, Scatterplot of entire gene set considered by <t>microarray</t> analysis to be expressed in podocytes (P < 0.05). The position of each dot on the scatterplot corresponds to the normalized average signal intensity (log scale) of a single gene. The normalized average signal intensity after exposure to SLE IgG and normal IgG is shown on the x and y axes, respectively. Broken red lines represent normal IgG:SLE IgG ratios of 2.0 (top; 2-fold greater expression in normal IgG) and 0.5 (bottom; 2-fold greater expression in SLE IgG). Black broken line is the mean.
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    Image Search Results


    A, Electrophoresis of whole serum (WS) or fractionated serum IgG derived from a systemic lupus erythematosus (SLE) patient (L) and a normal subject (N). Molecular weight marker (M) is shown at the right. B, Scatterplot of entire gene set considered by microarray analysis to be expressed in podocytes (P < 0.05). The position of each dot on the scatterplot corresponds to the normalized average signal intensity (log scale) of a single gene. The normalized average signal intensity after exposure to SLE IgG and normal IgG is shown on the x and y axes, respectively. Broken red lines represent normal IgG:SLE IgG ratios of 2.0 (top; 2-fold greater expression in normal IgG) and 0.5 (bottom; 2-fold greater expression in SLE IgG). Black broken line is the mean.

    Journal: Arthritis & rheumatology (Hoboken, N.J.)

    Article Title: Lupus Nephritis IgG Induction of Calcium/Calmodulin-Dependent Protein Kinase IV Expression in Podocytes and Alteration of Their Function

    doi: 10.1002/art.39499

    Figure Lengend Snippet: A, Electrophoresis of whole serum (WS) or fractionated serum IgG derived from a systemic lupus erythematosus (SLE) patient (L) and a normal subject (N). Molecular weight marker (M) is shown at the right. B, Scatterplot of entire gene set considered by microarray analysis to be expressed in podocytes (P < 0.05). The position of each dot on the scatterplot corresponds to the normalized average signal intensity (log scale) of a single gene. The normalized average signal intensity after exposure to SLE IgG and normal IgG is shown on the x and y axes, respectively. Broken red lines represent normal IgG:SLE IgG ratios of 2.0 (top; 2-fold greater expression in normal IgG) and 0.5 (bottom; 2-fold greater expression in SLE IgG). Black broken line is the mean.

    Article Snippet: Scan data images were analyzed using the Microarray Data Analysis Tool software package (Filgen), a comprehensive program that also produced the gene ontology and Z score reports.

    Techniques: Electrophoresis, Derivative Assay, Molecular Weight, Marker, Microarray, Expressing