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Training Data for "Learning about one gene across biological resources and formats"

Authors: Paladin, Lisanna; Batut, Bérénice;

Training Data for "Learning about one gene across biological resources and formats"

Abstract

When we do a bioinformatics analysis, e.g. RNA-seq, we might end up with a list of gene names. We then need to explore these genes. But how can we do that? What are the resources available for that? And how to navigate through them? The aim of this tutorial is to familiarize ourselves with that, using Human opsins as an example.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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9
7
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