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Single Cell RNA Sequence Data Analysis in Cancerous Tumours:

  • Used single cell RNA sequencing databases in cancerous tumours from various tissues (oral, breast) to identify the anomalous differential levels of gene expression due to excess cell division.

  • Created an R pipeline using FastQC, Bioconductor and Seurat to preprocess and clean single cell RNA sequence datasets, perform Principal Component Analysis and identify anomalous differential gene expression.

  • Used the PARAM-ISHAN Supercomputer to perform biocomputational calculations on the breast tissue scRNA sequence database.

Author:

+ Vedant Shrivastava | [email protected]