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Introduction to bulk RNAseq analysis: supplementary material

Authors: Jose Alejandro Romero Herrera;

Introduction to bulk RNAseq analysis: supplementary material

Abstract

June 2023 Version This archive contains materials (datasets, exercises and slides, etc) used for the Introduction to bulk RNAseq analysis workshop taught at the University of Copenhagen by the Center for Health Data Science (HeaDS). The course repo can be found on Github: Assignments.zip contains exercises for the preprocessing part of the course, like fastqc and multiqc examples of bulk RNAseq experiments Data.zip contains count matrices (both traditional counts and salmon pseudocounts), as well as sample metadata (samplesheet.csv) and backup results from the preprocessing pipeline. Notes.zip contains supplementary materials such as extra pdfs for more information on bulk RNAseq technology. Slides.zip contains all the slides used in the workshop. Raw_reads.zip contains the raw reads from the bulk RNAseq experiment (10.1016/j.celrep.2014.10.054) used in this course.

{"references": ["Kenny PJ, Zhou H, Kim M, Skariah G, Khetani RS, Drnevich J, Arcila ML, Kosik KS, Ceman S. MOV10 and FMRP regulate AGO2 association with microRNA recognition elements. Cell Rep. 2014 Dec 11;9(5):1729-1741. doi: 10.1016/j.celrep.2014.10.054. Epub 2014 Nov 20. PMID: 25464849; PMCID: PMC4268400."]}

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Keywords

supplementary material, bioinformatics, RNAseq, e-learning, course

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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