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added more R workshops, need to add functional enrichment workshop
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index.html

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@@ -242,6 +242,13 @@ <h3 class="text-xl font-bold">Monash Bioinformatics Platform</h3>
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description: 'Single-cell annotation by reference',
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url: 'https://github.com/MonashBioinformaticsPlatform/celaref',
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repoImage: null
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},
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{
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title: 'Varistran',
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repoName: 'MonashBioinformaticsPlatform/varistran',
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description: 'Varistran is an R package providing a Variance Stabilizing Transformation appropriate for RNA-Seq data, and a variety of diagnostic plots based on such transformation.',
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url: 'https://github.com/MonashBioinformaticsPlatform/varistran',
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repoImage: 'https://github.com/MonashBioinformaticsPlatform/varistran/blob/master/doc/heatmap-example.png'
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}
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],
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trainingWorkshops: [
@@ -251,6 +258,34 @@ <h3 class="text-xl font-bold">Monash Bioinformatics Platform</h3>
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description: 'Learning resources for bioinformatics, genomics and computational biology',
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url: 'https://github.com/MonashBioinformaticsPlatform/learning-resource-links',
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repoImage: null
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},
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{
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title: 'Introduction to R',
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repoName: 'MonashDataFluency/r-intro-2',
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description: 'Learning resources for bioinformatics, genomics and computational biology',
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url: 'https://monashdatafluency.github.io/r-intro-2/',
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repoImage: 'https://monashdatafluency.github.io/r-intro-2/plotting_files/figure-html/unnamed-chunk-7-1.png'
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},
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{
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title: 'Best Practices in Using R',
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repoName: 'MonashBioinformaticsPlatform/r-more',
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description: 'Advanced R workshop - builds on the Introduction to R workshop',
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url: 'https://monashbioinformaticsplatform.github.io/r-more/',
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repoImage: null
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},
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{
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title: 'Linear Models in R',
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repoName: 'MonashDataFluency/r-linear',
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description: 'Workshop on using linear models in R. Includes an example for RNAseq differential analysis',
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url: 'https://monashdatafluency.github.io/r-linear/',
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repoImage: null
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},
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{
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title: 'Introduction to single cell analysis with Seurat',
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repoName: 'MonashBioinformaticsPlatform/scRNAseq_Workshop_ABACBS_2024',
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description: 'An introduction to analysing single cell data using Seurat. Includes cell type annotation with singleR, dataset integration with harmony',
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url: 'https://monashbioinformaticsplatform.github.io/scRNAseq_Workshop_ABACBS_2024/',
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repoImage: 'https://monashbioinformaticsplatform.github.io/scRNAseq_Workshop_ABACBS_2024/scRNAseqInR_ABACBS_2024_Doco_files/figure-html/harmony4-1.png'
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}
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]
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}

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