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CRISPR Library Creation Tool

Computational Genomics Internship at Stanford
Project Details

The emergence of CRISPR technology has made targeted genome editing more efficient and more widespread. The CRISPR/Cas9 system uses a CRISPR RNA guide to lead a Cas9 protein to a specific sequence in the genome. This technology allows for site-specific genome cleavage, which then can lead to insertions, deletions, or substitutions at the target site. I developed an R package to sample genomic regions and provide all possible guides based on user-inputted filters of cell-type, chromatin state, and gene ontology of interest.

The tool was designed for any given genome dataset. I worked with the Bassik Lab in Stanford's genetic department to create a CRISPR library to repress enhancers in K562, a human leukemic cell line. I had weekly meetings with their team to see what additional filters I could add and other ways I could modify my tool to make it more useful to them.

  • Kundaje Lab Stanford Dept. of Genetics and Computer Science
  • Date: June - August 2014

R Coding & Analysis

Data visualization & statistical analysis of big data. Used principal component analysis. Created R package made available on Github.

Cluster Computing

Needed extensive computing resources to process large genomic datasets.

Bioinformatics

Used ENCODE/Roadmap dataset to understand correlation between gene expression and cell lines. Accessed gene ontology information from GOrilla.

CRISPR

Researched the novel genome editing tool in depth soon after its inception.

Contact Me

Email:nsunil[at]mit[dot]edu