Unraveling the molecular mechanisms driving stem cell fate decisions still remains one of the major quests in stem cell biology. State-of-the-art -OMICS technologies has become an important tool to their discovery pipeline and has generated an increased interest among stem cell biologists to learn this technique. However, often technical and other pragmatic challenges limit the ability of stem cell biologists to maximize the amount of information that can be harnessed from large data sets. Such limitations include 1) a lack of understanding of how next generation sequencing (NGS) works and how raw NGS data is acquired, processed and analyzed, 2) issues surrounding proper experimental design, 3) low number of stem cells available for genomic analysis, and 4) a limited understanding of the tools available for analyzing and interpreting obscure gene lists.
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