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License: CC BY
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ZENODO
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License: CC BY
Data sources: Datacite
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ELIXIR / CODATA-RDA Research Data Science Advanced Workshop on Bioinformatics

Authors: Ghouila, Amel; Tsagiopoulou, Maria; Mpangase, Phelelani Thokozani; Hazelhurst, Scott; Psomopoulos, Fotis E.;

ELIXIR / CODATA-RDA Research Data Science Advanced Workshop on Bioinformatics

Abstract

As part of the CODATA-RDA Research Data Science Summer School in Trieste (5-16 Aug 2019), ELIXIR Training has contributed in the organization of the flanking Advanced Bioinformatics workshop (19-23 Aug 2019) with a particular focus on Machine Learning applications, as part of the ELIXIR Implementation Study on Learning Paths. This advanced bioinformatics course provided an overview of the current status of different NGS workflows (variant calling, RNA-Seq, etc), and combined them with the appropriate Machine Learning and Data Mining approaches. After providing a strong foundation of the underlying theory and concepts, the course relied heavily on hand-on exercises and tutorials in order for the participants to directly apply and practice on methods and techniques presented throughout each day. The material is organized into four days / modules: Experimental Design and Statistics Introduction to basic NGS pipelines Machine Learning and Data Mining in Bioinformatics Introduction to Workflows and Nextflow All content has been designed to work with the readthedocs platform, with the rendered site being available here.

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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
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15