Streamlined Mutation Analysis for Clinical Next Generation Sequencing Data

Stolarczyk, Rebecca A.

Student Work

Streamlined Mutation Analysis for Clinical Next Generation Sequencing Data

Public Deposited

The Laboratory of Molecular Oncology at UMass Medical Center recently implemented a clinical Next Generation Sequencing assay, but lacked an adequate bioinformatics solution for analyzing the data. To streamline the analysis process, a program was developed in Excel Visual Basic that filters raw data and compiles a medical report from the mutational findings. Testing was conducted using data from a variety of different tumor profiles to ensure technical accuracy. Feedback was also collected from the laboratory staff in regards to the program’s usability, and adequate adjustments were made to the program in response. Ultimately, this solution shortens the turnaround time for clinical specimens, reduces the likelihood of errors, and improves patient care for the hospital.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

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