Isha Gupta

I am proficient in bioinformatics tools and platforms, including Galaxy, Linux, and Snakemake, and have developed and optimized automated WGS pipelines for large-scale genomic analysis. Throughout my career, I have contributed to multiple research projects, applying statistical and computational methods to extract meaningful insights from high-throughput sequencing data.

Computational Biology & Bioinformatics: Genome assembly, annotation, phylogenetics, RNA-seq, 16S rRNA analysis

Workflow Automation & Data Processing: Snakemake, Nextflow, Galaxy, Linux

Programming & Data Science: Python, R, Bash scripting, Biopython, NumPy, Pandas, Scikit-learn

NGS & Structural Bioinformatics: FastQC, Trimmomatic, SPAdes, Prokka, PHYLIP, MEGA, Chimera

Scientific Writing & Visualization: RStudio, Tableau, Matplotlib, Seaborn, NetworkX