Biostatistics Analysis Services

Turning Complex Biological Data into Meaningful Scientific Insights

Biostatistics Analysis Services

At OriGene Biosolutions, we provide comprehensive biostatistics analysis services to transform your raw data into meaningful scientific insights. Our expert statisticians and bioinformaticians help researchers, clinicians, and organizations design experiments, analyze complex datasets, and interpret results for publications, regulatory submissions, and decision-making.

Our biostatistics services cater to a wide range of applications in genomics, microbiome research, clinical studies, and experimental biology, enabling clients to optimize their data workflows and make informed, statistically sound decisions.

Sequence Analysis

1. Experimental Design & Power Analysis

  • Study Planning: Guidance on designing robust experiments and clinical trials.
  • Sample Size Calculation: Determine the minimum number of samples for statistically significant results.
  • Randomization & Blocking: Minimize bias and improve the reliability of your results.
Pharmacophore Modeling

2. Descriptive & Inferential Statistics

  • Descriptive Analysis: Summary statistics including mean, median, variance, standard deviation, and frequency distributions.
  • Inferential Tests: t-tests (paired/unpaired, one/two-tailed); ANOVA / MANOVA for multiple group comparisons; Chi-square tests for categorical data; Correlation & Regression (linear, logistic, Poisson)
  • Biomarker Discovery: AI models to uncover potential disease biomarkers for personalized therapies.
ADMET Predictions

3. Omics Data Analysis

  • Transcriptomics (RNA-seq): Differential expression, normalization, clustering, and pathway analysis.
  • Metagenomics & Microbiome: Alpha/beta diversity, differential abundance, network analysis.
  • Proteomics & Metabolomics: Multivariate analysis, PCA, PLS-DA, and pathway enrichment.
Hit-to-Lead Optimization

4. Multivariate & Survival Analysis

  • Dimensionality Reduction: PCA, PCoA, and Canonical Correspondence Analysis (CCA).
  • Survival & Time-to-Event Analysis: Kaplan-Meier plots, Cox proportional hazards modeling.
  • Mixed Models & Repeated Measures: Handling complex experimental designs.
Computational Tools for Target Identification

5. Machine Learning & Predictive Modeling

  • Classification & Regression: Random Forest, SVM, Logistic Regression for biological predictions.
  • Feature Selection: Identify key variables driving experimental outcomes.
  • Model Validation: Ensure robustness and reproducibility of predictive models.
Computational Tools for Target Identification

6. Data Visualization & Reporting

  • High-Quality Graphs & Plots: ublication-ready figures using ggplot2 and matplotlib.
  • Comprehensive Reports: Interpretations, statistical summaries, and actionable insights.
  • Interactive Dashboards: Dynamic exploration of complex datasets.
Computational Tools for Target Identification

7. Customized Biostatistics Solutions

  • Tailored workflows: Tailored statistical workflows for your research questions and datasets.
  • End-to-end data analysis: End-to-end data analysis pipelines: From preprocessing to final interpretation.
  • Consultation: Consultation and guidance for grant proposals, manuscripts, and regulatory submissions.

Inquiry

Why to Choose
Origene Biosolutions
Biostatistics Analysis Services

  • Expertise in life sciences and bioinformatics
  • Customized, reliable, and reproducible analyses
  • Quick turnaround for urgent projects
  • Tailored workflows and End-to-end data Analysis
  • Publication-ready outputs with visualizations

Enhance the impact of your research with professional biostatistics support from OriGene Biosolutions.

Your Data, Our Expertise, Meaningful Insights.