Kanka Mukherjee

Programming & ML :

• Python Programming: Proficient in Python for bioinformatics scripting, data analysis, and tool development
• Differential Gene Expression Analysis: Experienced in conducting differential expression analysis using R Studio, with packages like DESeq2, edgeR, and Limma
• Developing and utilizing supervised and unsupervised ML models for data analysis and prediction

MS Excel: Skilled in using Microsoft Excel for data manipulation, analysis, and visualization

Genomics:

• Genome Assembly: Expertise in de-novo genome assembly, using tools such as SPAdes, Velvet, and CANU

• Bioinformatics Tools and Databases: Skilled in utilizing a wide array of bioinformatics tools and databases (eg, NCBI, UniProt, Ensembl) for sequence analysis, annotation, and comparative genomics

Structural Biology:

• Competent in performing molecular docking and dynamics simulations using tools like AutoDock and PyRex to study protein-ligand interactions

Systems Biology:

• Adept at building and analyzing gene-disease and disease-gene networks using Python libraries like NetworkX, and tools like Cytoscape and Gephi for visualization and analysis
• Experienced in creating Snakemake pipelines for automating complex bioinformatics workflows and ensuring reproducible data analysis