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I will analyze bulk rna seq and gene expression data
Bioinformatics Analyst RNA seq Scientific Data Visualization
Bioinformatics analyst specializing in human bulk RNA-seq, gene expression analysis, and scientific data visualization. I help researchers turn count matrices and metadata into clear, reliable results...
About this Gig
Turn your human bulk RNA-seq or gene expression data into clear, reliable and publication-ready results.
I help researchers, laboratories and biotech teams transform complex expression matrices into well-organized biological insights using R and Bioconductor workflows tailored to each study design.
Services may include:
- Input, metadata and sample identity checks
- Quality control, library-size review, PCA and sample diagnostics
- Filtering, normalization and differential expression analysis
- Complete result tables, volcano plots and publication-ready figures
- DEG heatmaps and GO, Reactome and KEGG pathway analysis
- Sensitivity and concordance analysis for advanced projects
- Clear methods, results summary and structured QA records
You will receive carefully organized outputs that are easy to review, interpret and use in reports, presentations, manuscripts or follow-up analysis. I focus on statistical clarity, high-quality visualization and clear communication throughout the project.
Please message me before ordering so I can understand your data, research question and desired comparisons.
My Portfolio
FAQ
What files do I need to provide?
Please provide a gene-level count or expression matrix, sample metadata, group labels, gene ID type, and the comparisons you need. A short description of your research question is also helpful.
Do you process raw FASTQ files?
This Gig focuses on downstream analysis of gene-level count matrices or validated expression matrices. Raw FASTQ quality control, alignment and quantification require a separate custom scope.
Which package should I choose?
Basic covers focused QC and differential expression. Standard adds diagnostics, a DEG heatmap and pathway analysis. Premium supports larger studies, up to two contrasts, sensitivity analysis and expanded QA.
Are R or Python scripts included?
Reproducible R or Python scripts and notebooks are not included by default. They can be provided as a paid custom extra after reviewing the data, environment and required code scope.
Can you analyze paired or complex study designs?
Yes, simple paired and unpaired comparisons are supported in the appropriate package. Multi-factor, interaction, longitudinal or other complex designs require a feasibility review and custom offer.
Can you guarantee significant genes or pathways?
Statistical significance depends on the data, sample size and biological effect. I provide complete, transparent results and clearly report both significant and non-significant findings.
What will I receive?
Depending on your package, you will receive organized result tables, high-resolution figures, methods, a results summary and QA records. Advanced packages include pathway and sensitivity analyses.
What is covered by a revision?
A revision covers corrections, formatting changes or clarification within the agreed analysis scope. New datasets, comparisons, methods or analysis modules require a custom extra or offer.
