Next generation sequencing (NGS) experiments generate a tremendous amount of data, which can be difficult to analyze in a meaningful way. With help from modern computing, scientists aim to extract as much useful information as possible from NGS results while avoiding misinterpretation or bias. Selecting the right analytical approach, along with an appropriate set of bioinformatics tools, is key to achieving this objective.
Download this guide to discover:
- What you need for whole genome sequencing analysis
- What you need for RNA sequencing analysis
- How to analyze each type of data