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Processing and Analysis of RNA-seq Data from Public Resources

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Deep Sequencing Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2243))

Abstract

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.

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  1. Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Yazeed Zoabi & Noam Shomron

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  1. Yazeed Zoabi
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  1. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Noam Shomron

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Zoabi, Y., Shomron, N. (2021). Processing and Analysis of RNA-seq Data from Public Resources. In: Shomron, N. (eds) Deep Sequencing Data Analysis. Methods in Molecular Biology, vol 2243. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1103-6_4

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