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lingunja
@lingunja
Bioinfomatics Pipeline Developer
Zambia
Engels
Over mij
I build reproducible bioinformatics pipelines for NGS
data analysis, specializing in RNA-seq differential
expression and cancer genomics.
Recent project: RNA-seq pipeline on NCBI breast cancer
dataset PRJNA432903. Identified 2298 significant DEGs,
86% variance by PC1. Tools: HISAT2, DESeq2, R, Python,
Bash, Git, Linux.
I deliver clean pipelines, publication-ready figures,
and reproducible results.
Skills
lingunja
offline •
Bekijk mijn diensten
Machine learning
I will perform rnaseq differential expression analysis on your dataset
Machine learning
I will perform single cell rna seq analysis and cell type annotation
Werkervaring
Bioinformatics Pipeline Developer
Self Level • Freelance
Jan 2025 - Present • 1 yr 4 mos
Developed an end-to-end RNA-seq differential expression pipeline analyzing breast cancer genomics data from NCBI dataset PRJNA432903. Pipeline includes HISAT2 alignment to GRCh38 reference genome, featureCounts quantification, and DESeq2 statistical analysis. Identified 2298 significant DEGs with PC1 explaining 86% of variance. Delivered volcano plot, heatmap, and full HTML report. Tools: R, Python, Bash, Git, Linux, DESeq2, HISAT2
