Galaxy as a gateway to bioinformatics: Multi-Interface Galaxy Hands-on Training Suite (MIGHTS) for scRNA-seq

MIGHTS consists of 11 tutorials, including recordings, slide decks, and interactive visualizations, and a demonstrated track record of sustainability via regular updates and community collaborations. Parallel pathways in MIGHTS enable concurrent training of scientists at any programming level, addressing the heterogeneous needs of novice bioinformaticians.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giae107
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

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article

Galaxy as a gateway to bioinformatics: Multi-Interface Galaxy Hands-on Training Suite (MIGHTS) for scRNA-seq

Saskia Hiltemann, Jonathan Manning, Pavankumar Videm, Helena Rasche et al.
3 citations
GigaScience
Single-cell and spatial transcriptomics
2.42
article

Galaxy as a gateway to bioinformatics: Multi-Interface Galaxy Hands-on Training Suite (MIGHTS) for scRNA-seq

Saskia Hiltemann, Jonathan Manning, Pavankumar Videm, Helena Rasche, Mehmet Tekman, Graeme Tyson, Alexander Ostrovsky, Wendi Bacon, Marisa Loach, Julia Jakiela, Morgan Howells, Pablo Moreno, Tyler Collins, Camila L Goclowski
article en
3 citations

Abstract

MIGHTS consists of 11 tutorials, including recordings, slide decks, and interactive visualizations, and a demonstrated track record of sustainability via regular updates and community collaborations. Parallel pathways in MIGHTS enable concurrent training of scientists at any programming level, addressing the heterogeneous needs of novice bioinformaticians.

GigaScienceVol. 14
AstraZeneca (United Kingdom) (GB), European Bioinformatics Institute (GB), Johns Hopkins University (US), University of Freiburg (DE), The Open University (GB), University of Utah (US), University of Edinburgh (GB)
EOSC-Life, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
2.42
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