3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D.

ABSTRACT:

Background

High throughput experiments in cancer and other areas of genomic research identify large numbers of sequence variants that need to be evaluated for phenotypic impact. While many tools exist to score the likely impact of single nucleotide polymorphisms (SNPs) based on sequence alone, the three-dimensional structural environment is essential for understanding the biological impact of a nonsynonymous mutation.

Results

We present a program, 3DVizSNP, that enables the rapid visualization of nonsynonymous missense mutations extracted from a variant caller format file using the web-based iCn3D visualization platform. The program, written in Python, leverages REST APIs and can be run locally without installing any other software or databases, or from a webserver hosted by

SUBMITTER: Sierk M 

PROVIDER: S-EPMC10251577 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature