Abstract
Abstract Modern biomedical research demands that investigators become familiar with deep sequencing data analysis, yet the vast nature of deep sequencing data creates a variety of roadblocks for biologists not familiar with the analysis of such large datasets. In this chapter, we provide an introduction to data analysis for biologists, review first principles, point out areas of concern, and suggest software tools that are becoming standards for analysis of deep sequencing data. Perhaps the biggest challenge in the analysis of deep sequencing data will be data management and storage and repeating complex, multitier computational analyses. The future of deep sequencing data analysis will be likely data-driven and rely on principles gleaned from “big data” analysis.
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