Parth D.

I turn RNA-seq, single-cell, NGS and clinical datasets into publication-ready results: differential expression, scRNA-seq clustering and annotation, variant calling and annotation, multi-omics integration, and clinical biostatistics (survival analysis, regression, machine learning). Top Rated, 100% Job Success across 16 Upwork projects. MSc Applied Bioinformatics (Cranfield University, UK) and peer-reviewed author. I work with academic labs, PhD researchers and biotech startups. WHAT CLIENTS SAY "Parth has been extremely professional and proficient for a range of bioinformatic applications and making all scripts available on GitHub. He considers the biological question, not just the task requested." (Client, methylome, ChIP-seq and RNA-seq project) WHAT I DO Bulk RNA-seq and transcriptomics FASTQ to figures: QC, alignment (STAR, HISAT2), quantification, differential expression (DESeq2, edgeR), GSEA and pathway enrichment, WGCNA co-expression networks, ncRNA/miRNA and ceRNA analysis. Full pipeline or analysis only. Single-cell RNA-seq (scRNA-seq) Cell Ranger and Seurat: QC, integration and batch correction, clustering, cell-type annotation, differential expression, trajectory analysis (Monocle), rare cell populations. Genomics, NGS and variant analysis Variant calling with GATK, VCF annotation and filtering, rare disease and clinical variant interpretation, population allele frequencies (gnomAD), WGS/WES workflows. Epigenomics and multi-omics ChIP-seq (MACS2), DNA methylation, integration of transcriptomic, epigenomic and clinical data. Metagenomics and microbiome analysis (QIIME 2). Biostatistics and clinical data analysis Regression (linear, logistic, multiple), survival analysis (Kaplan-Meier, Cox), Bayesian models, ML classifiers (Random Forest, XGBoost, LASSO), biomarker validation, statistical review of manuscripts. R, Python and SPSS. Structural bioinformatics Molecular docking (AutoDock Vina), molecular dynamics and MM-PBSA. WHAT YOU GET - Commented, reproducible code (R Markdown or Jupyter) shared on GitHub - Publication-ready figures (ggplot2, matplotlib) - A clear report explaining what the results mean biologically - Methods text you can use in your manuscript or thesis TOOLS R, Python, Bash, SQL, Docker, HPC/Linux, Git, reproducible workflows. Send me a short description of your data and research question, and I'll reply within a day with a plan and timeline.