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Tools

Research analysis in your browser. Statistics are computed in R.

Tools by category

I Statistical analysis 11

  1. Auto Stats Auto Stats Paste your data; the test is chosen from how the data are laid out
  2. Descriptive Statistics Descriptive Statistics Centre, spread and shape of one sample
  3. T-Test T-Test Compare two means
  4. Data Wash Data Wash Check and clean a data table
  5. ANOVA ANOVA Compare three or more means
  6. Correlation Correlation How two variables move together
  7. Linear Regression Linear Regression Predict an outcome from one or more variables
  8. Dose-Response 4PL Dose-Response 4PL Fit a dose–response curve and estimate EC50
  9. PCA PCA Condense many variables into principal components
  10. Cohort Explorer Cohort Explorer Describe a cohort and compare its groups
  11. Probability Calibration Checker Probability Calibration Checker Check predicted probabilities against observed outcomes

II Image analysis 5

  1. Dot Blot Analyzer Dot Blot Analyzer Quantify dot-blot signals
  2. Western Blot Densitometry Western Blot Densitometry Quantify western-blot bands and compare groups
  3. IHC DAB Analysis IHC DAB Analysis Quantify positive staining in an IHC image
  4. IHC Batch Analysis Quantify a batch of IHC images
  5. Flow Cytometry Analyzer Flow Cytometry Analyzer Gate flow cytometry data and read population fractions

III Molecular biology design 1

  1. Primer, Probe & Plasmid Design Primer, Probe & Plasmid Design Design primers and sequences

IV Wet-lab assays 2

  1. Protein Assay Protein Assay Turn a standard curve into protein concentrations
  2. ELISA Standard Curve ELISA Standard Curve Fit a 4PL standard curve and back-calculate sample concentrations

V Explore & utilities 1

  1. Knowledge Graph Map how research concepts relate

VI Cognitive & behavioural 1

  1. Stroop Test Stroop Test The Stroop colour–word task