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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/result/data analysis software graphpad instat/product/GraphPad Software Inc
    Average 90 stars, based on 1 article reviews
    data analysis software graphpad instat - by Bioz Stars, 2026-06
    90/100 stars

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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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    instat data analysis software  (GraphPad Software Inc)
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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