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Merge pull request #5491 from MarisaJL/seurat_pbmc
Adding Seurat version of the PBMC clustering tutorial
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---
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destination:
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type: library
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name: GTN - Material
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description: Galaxy Training Network Material
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synopsis: Galaxy Training Network Material. See https://training.galaxyproject.org
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items:
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- name: Transcriptomics
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description: Training material for all kinds of transcriptomics analysis.
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items:
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- name: Clustering 3K PBMCs with Scanpy
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items:
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- name: 'DOI: 10.5281/zenodo.3581213'
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description: latest
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items:
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- url: https://zenodo.org/api/files/78a8ec7e-3357-44b8-854d-4a9d772b4589/barcodes.tsv
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src: url
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ext: tsv
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info: https://zenodo.org/record/3581213
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- url: https://zenodo.org/api/files/78a8ec7e-3357-44b8-854d-4a9d772b4589/genes.tsv
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src: url
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ext: tsv
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info: https://zenodo.org/record/3581213
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- url: https://zenodo.org/api/files/78a8ec7e-3357-44b8-854d-4a9d772b4589/matrix.mtx
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src: url
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ext: mtx
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info: https://zenodo.org/record/3581213
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@Article{seurat2023v5,
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author = {Yuhan Hao and Tim Stuart and Madeline H Kowalski and Saket Choudhary and Paul Hoffman and Austin Hartman and Avi Srivastava and Gesmira Molla and Shaista Madad and Carlos Fernandez-Granda and Rahul Satija},
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title = {Dictionary learning for integrative, multimodal and scalable single-cell analysis},
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journal = {Nature Biotechnology},
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year = {2023},
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doi = {10.1038/s41587-023-01767-y},
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url = {https://doi.org/10.1038/s41587-023-01767-y},
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}
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@article{SCTransform2022,
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title={Comparison and evaluation of statistical error models for scrna-seq},
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DOI={10.1186/s13059-021-02584-9},
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volume={23},
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number={1},
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journal={Genome Biology},
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author={Choudhary, Saket and Satija, Rahul},
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year={2022},
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month={Jan}}
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@article{tekman2020single,
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title={A single-cell RNA-sequencing training and analysis suite using the Galaxy framework},
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author={Tekman, Mehmet and Batut, B{\'e}r{\'e}nice and Ostrovsky, Alexander and Antoniewski, Christophe and Clements, Dave and Ramirez, Fidel and Etherington, Graham J and Hotz, Hans-Rudolf and Scholtalbers, Jelle and Manning, Jonathan R and others},
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journal={GigaScience},
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DOI={10.1093/gigascience/giaa102},
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volume={9},
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number={10},
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pages={giaa102},
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year={2020},
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publisher={Oxford University Press}
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}

topics/single-cell/tutorials/scrna-seurat-pbmc3k/tutorial.md

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- doc: Test the Clustering 3k PBMCs with Seurat tutorial with separate preprocessing steps
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job:
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matrix.mtx:
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class: File
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location: https://zenodo.org/records/3581213/files/matrix.mtx
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filetype: mtx
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genes.tsv:
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class: File
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location: https://zenodo.org/records/3581213/files/genes.tsv
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filetype: tsv
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barcodes.tsv:
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class: File
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location: https://zenodo.org/records/3581213/files/barcodes.tsv
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filetype: tsv
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Canonical Markers:
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class: File
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location: https://zenodo.org/records/14013475/files/Canonical_Markers.tabular
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filetype: tabular
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outputs:
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Input 3k PBMC:
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location: https://zenodo.org/records/14013475/files/Input_3k_PBMC.rds
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compare: diff
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Preprocessed Data:
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location: https://zenodo.org/records/14013475/files/Preprocessed_Data.rds
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compare: diff
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Annotated Clusters:
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location: https://zenodo.org/records/14013475/files/Annotated_Clusters.rds
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compare: diff
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Input DE Markers:
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location: https://zenodo.org/records/14013475/files/Input_DE_Markers.tabular
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compare: diff

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