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Introduction to bulk RNAseq analysis

Authors: Jose Alejandro Romero Herrera;

Introduction to bulk RNAseq analysis

Abstract

This archive contians datasets, exercises and slides 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 material can be found on Github. Data.zip contains fastqc and multiqc examples of bulk RNAseq experiments, plus count matrices (both traditional counts and salmon pseudocounts), as well as sample metadata (samplesheet.csv). Slides.zip contains all the slides used in the workshop.

{"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."]}

This is a patch version with updated slides.

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This is an alternative to the "Influence" indicator, which also 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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popularity
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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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