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Tallyup: the Docker pipeline driving the Digital Expression Explorer 2 resource

Authors: Ziemann, Mark;

Tallyup: the Docker pipeline driving the Digital Expression Explorer 2 resource

Abstract

Digital Expression Explorer 2 is among the most comprehensive gene expression datasets currently available (http://dee2.io/; DOI:10.1093/gigascience/giz022). Underlying this massive dataset is a software pipeline that acquires transcriptome sequencing data from NCBI's Sequence Read Archive, processes and summarises this data into counts that can be readily used in subsequent analysis. The motivation for this submission is to indefinitely archive this pipeline, which was previously hosted at DockerHub. In order to use this Docker image, run the following commands on a linux computer: # uncompress the file gunzip tallyup.tar.gz # load into docker docker load < tallyup.tar # test with a small dataset docker run mziemann/tallyup ecoli SRR057751

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Genomics

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
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