Advances in next generation sequencing (NGS) technologies resulted in a broad array of large-scale gene expression studies and an unprecedented volume of whole messenger RNA (mRNA) sequencing data, or the transcriptome (also known as RNA sequencing, or RNA-seq). These include the Genotype Tissue Expression project (GTEx) and The Cancer Genome Atlas (TCGA), among others. Here we cover some of the commonly used datasets, provide an overview on how to begin the analysis pipeline, and how to explore and interpret the data provided by these publicly available resources.
CITATION STYLE
Zoabi, Y., & Shomron, N. (2021). Processing and Analysis of RNA-seq Data from Public Resources. In Methods in Molecular Biology (Vol. 2243, pp. 81–94). Humana Press Inc. https://doi.org/10.1007/978-1-0716-1103-6_4
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