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I apply computational and statistical approaches to analyze high-throughput biological data, with a focus on transcriptomics and integrative multi-omics research. My work emphasizes reproducible workflows, rigorous quality control, and biologically meaningful interpretation.

 

Expertise:

  • RNA-seq data analysis and differential expression

  • Reproducible bioinformatics pipelines

  • Multi-omics data integration

  • Statistical modeling and data visualization

 

Reproducible Workflows and Code

Analysis scripts, pipelines, and reproducible workflows are available on GitHub:

https://github.com/MehaOmics

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© Meha Sharma

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