I will analyze scrna seq, spatial transcriptomics, and ngs data

Get Publication-Quality NGS Data Analysis from an Experienced Bioinformatician

I specialize in Next-Generation Sequencing (NGS) data analysis, with hands-on experience delivering results for peer-reviewed publications. I turn raw sequencing data into clear, publication-ready biological insights backed by strong domain knowledge in experimental biology.

Services I Offer:

• scRNA-Seq Analysis: End-to-end pipeline QC, dimensionality reduction (PCA/UMAP), clustering, cell-type annotation, and trajectory inference (Seurat/Bioconductor)
• Spatial Transcriptomics: Integration with scRNA-seq data, gene expression mapping to tissue morphology, spatial gene identification
• Bulk RNA-Seq: FastQC, alignment, differential expression analysis (DESeq2), functional enrichment (GO/KEGG)
• Data Visualization: High-resolution, publication-ready figures (heatmaps, volcano plots, custom plots in ggplot2/ComplexHeatmap)

Tools & Technologies:

Languages: R (Tidyverse, Bioconductor), Bash/Linux

Data Types: FASTQ, BAM, VCF, Count Matrices

Why Work With Me:

Methods grounded in current literature and academic rigor

Clean, reproducible code with detailed analysis reports

Clear communication and fast turnaround