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data analysis software graphpad instat  (GraphPad Software Inc)


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    GraphPad Software Inc data analysis software graphpad instat
    Data Analysis Software Graphpad Instat, supplied by GraphPad Software Inc, 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/instat+analysis+software/graphpad+prism+software/pm40103327-336-7-7
    Average 90 stars, based on 1 article reviews
    data analysis software graphpad instat - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Liver Cyst Cytokines Promote Endothelial Cell Proliferation and Development
    Article Snippet: Autosomal dominant polycystic kidney (ADPKD) is highly prevalent genetic disease.. Liver cyst disease is the most common extrarenal manifestation in ADPKD and accounts for up to 10% of ADPKD morbidity and mortality.. The clinical features of ADPKD liver disease arise from dramatic increases in liver cyst volumes.

    Article Title: CXCR2 agonists in ADPKD liver cyst fluids promote cell proliferation
    Article Snippet: Statistical analysis All statistics were evaluated by GraphPad Instat (San Diego, CA) analysis software.

    Software:

    Article Title: Piperine, a dietary phytochemical, inhibits angiogenesis
    Article Snippet: .. Statistical analysis Student’s t test, one-way analysis of variance (ANOVA) with the Tukey–Kramer multiple-comparisons posttest or Kruskal–Wallis nonparametric ANOVA with Dunn’s multiple-comparisons posttest was employed, as appropriate, using InStat analysis software (GraphPad Software Inc., La Jolla, CA, USA). .. Statistical analysis Student’s t test, one-way analysis of variance (ANOVA) with the Tukey–Kramer multiple-comparisons posttest or Kruskal–Wallis nonparametric ANOVA with Dunn’s multiple-comparisons posttest was employed, as appropriate, using InStat analysis software (GraphPad Software Inc., La Jolla, CA, USA).

    Article Title: Piperine, a dietary phytochemical, inhibits angiogenesis
    Article Snippet: .. Student’s t test, one-way analysis of variance (ANOVA) with the Tukey–Kramer multiple-comparisons posttest or Kruskal–Wallis nonparametric ANOVA with Dunn’s multiple-comparisons posttest was employed, as appropriate, using InStat analysis software (GraphPad Software Inc., La Jolla, CA, USA). ..

    Article Title: Piperine blocks interleukin-2-driven cell cycle progression in CTLL-2 T lymphocytes by inhibiting multiple signal transduction pathways.
    Article Snippet: Piperine, a pungent alkaloid found in the fruits of black pepper plants, has diverse physiological effects, including the ability to inhibit immune cell-mediated inflammation.. Since the cytokine interleukin-2 (IL-2) is essential for the clonal expansion and differentiation of T lymphocytes, we investigated the effect of piperine on IL-2 signaling in IL-2-dependent mouse CTLL-2 T lymphocytes.. Tritiated-thymidine incorporation assays and flow cytometric analysis of Oregon Green 488-stained cells showed that piperine inhibited IL-2-driven T lymphocyte proliferation; however, piperine did not cause T lymphocytes to die or decrease their expression of the high affinity IL-2 receptor, as determined by flow cytometry.

    Article Title: Induction of CYP102 (cytochrome P450BM-3) in Bacillus megaterium by 17 beta-estradiol and 4-sec-butylphenol.
    Article Snippet: *Department of Pharmacology and the Tulane/Xavier Center for Bioenvironmental Research, Tulane University Medical School, 1430 Tulane Avenue, New Orleans, Louisiana 70112; †School of Applied Sciences, Robert Gordon University, St. Andrews Street, Aberdeen, AB25 1HG, United Kingdom; ‡Imperial Cancer Research Fund, Molecular Pharmacology Unit, Biomedical Research Center, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, United Kingdom; §Department of Chemistry, Tulane University, 6400 Freret Street, New Orleans, Louisiana 70118; and Department of Chemistry and the Tulane/Xavier Center for Bioenvironmental Research, Tulane University, 6400 Freret Street, New Orleans, Louisiana 70118



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    Translational stop codons within transcribed M. leprae pseudogenes . These graphs show M. leprae transcribed pseudogenes containing translational stop codons (UAA, UGA, or UAG). The number of in-frame (5'3' frame 1) stop codons/pseudogene was identified in silico by translation of the DNA sequence for each pseudogene . using (ExPasy Translate Tool: ): Panel A shows the % of transcribed pseudogenes containing the specified number of stop codons/pseudogene (e.g. 1–5, 6–10, etc), obtained by dividing the number of transcribed pseudogenes within each group by that of the total number of transcribed pseudogenes with stop codons; Panel B shows the % transcribed pseudogenes in each group containing translational start codons, obtained by dividing the number of transcribed pseudogenes within each group containing translational start codons by that of the total # pseudogenes with stop codons and translational started codons; Panel C, shows the # of stop codons/group as a function of gene length in base pairs (bp). The mean and standard deviation of the of the gene length (bp) from each group were compared to that of the other groups <t>using</t> <t>GraphPad</t> <t>InStat</t> software and all groups were significantly different ( p < 0.001) from all other groups except for 21–25 vs 26–40.
    One Way Analysis Of Variance (Anova) Using Tukey Kramer Multiple Comparisons Test Graphpad Instat Software, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Translational stop codons within transcribed M. leprae pseudogenes . These graphs show M. leprae transcribed pseudogenes containing translational stop codons (UAA, UGA, or UAG). The number of in-frame (5'3' frame 1) stop codons/pseudogene was identified in silico by translation of the DNA sequence for each pseudogene . using (ExPasy Translate Tool: ): Panel A shows the % of transcribed pseudogenes containing the specified number of stop codons/pseudogene (e.g. 1–5, 6–10, etc), obtained by dividing the number of transcribed pseudogenes within each group by that of the total number of transcribed pseudogenes with stop codons; Panel B shows the % transcribed pseudogenes in each group containing translational start codons, obtained by dividing the number of transcribed pseudogenes within each group containing translational start codons by that of the total # pseudogenes with stop codons and translational started codons; Panel C, shows the # of stop codons/group as a function of gene length in base pairs (bp). The mean and standard deviation of the of the gene length (bp) from each group were compared to that of the other groups <t>using</t> <t>GraphPad</t> <t>InStat</t> software and all groups were significantly different ( p < 0.001) from all other groups except for 21–25 vs 26–40.
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    Translational stop codons within transcribed M. leprae pseudogenes . These graphs show M. leprae transcribed pseudogenes containing translational stop codons (UAA, UGA, or UAG). The number of in-frame (5'3' frame 1) stop codons/pseudogene was identified in silico by translation of the DNA sequence for each pseudogene . using (ExPasy Translate Tool: ): Panel A shows the % of transcribed pseudogenes containing the specified number of stop codons/pseudogene (e.g. 1–5, 6–10, etc), obtained by dividing the number of transcribed pseudogenes within each group by that of the total number of transcribed pseudogenes with stop codons; Panel B shows the % transcribed pseudogenes in each group containing translational start codons, obtained by dividing the number of transcribed pseudogenes within each group containing translational start codons by that of the total # pseudogenes with stop codons and translational started codons; Panel C, shows the # of stop codons/group as a function of gene length in base pairs (bp). The mean and standard deviation of the of the gene length (bp) from each group were compared to that of the other groups using GraphPad InStat software and all groups were significantly different ( p < 0.001) from all other groups except for 21–25 vs 26–40.

    Journal: BMC Genomics

    Article Title: Implications of high level pseudogene transcription in Mycobacterium leprae

    doi: 10.1186/1471-2164-10-397

    Figure Lengend Snippet: Translational stop codons within transcribed M. leprae pseudogenes . These graphs show M. leprae transcribed pseudogenes containing translational stop codons (UAA, UGA, or UAG). The number of in-frame (5'3' frame 1) stop codons/pseudogene was identified in silico by translation of the DNA sequence for each pseudogene . using (ExPasy Translate Tool: ): Panel A shows the % of transcribed pseudogenes containing the specified number of stop codons/pseudogene (e.g. 1–5, 6–10, etc), obtained by dividing the number of transcribed pseudogenes within each group by that of the total number of transcribed pseudogenes with stop codons; Panel B shows the % transcribed pseudogenes in each group containing translational start codons, obtained by dividing the number of transcribed pseudogenes within each group containing translational start codons by that of the total # pseudogenes with stop codons and translational started codons; Panel C, shows the # of stop codons/group as a function of gene length in base pairs (bp). The mean and standard deviation of the of the gene length (bp) from each group were compared to that of the other groups using GraphPad InStat software and all groups were significantly different ( p < 0.001) from all other groups except for 21–25 vs 26–40.

    Article Snippet: Statistical analysis of data for this study was obtained from the comparison of means and standard deviations of raw data and performed using One-way Analysis of Variance (ANOVA) using Tukey-Kramer Multiple Comparisons Test GraphPad InStat software.

    Techniques: In Silico, Sequencing, Standard Deviation, Software