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title: "Galaxy Single-cell Community: Year in Review" | ||
date: '2023-12-23' | ||
tease: 'The Galaxy Single-cell Community provides a 2023 review!' | ||
authors: Wendi Bacon, Pavankumar Videm, Mehmet Tekman | ||
authors_structured: | ||
- github: nomadscientist | ||
- github: pavanvidem | ||
- github: mtekman | ||
tags: [gtn, communications, single-cell] | ||
subsites: [all-eu,global,esg] | ||
--- | ||
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<div class="float-right" style="max-width: 400px"> | ||
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![swirled cluster dots surround a circle of people all holding hands, looking towards the bright center (future)](./2023_dec_sc.png) | ||
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</div> | ||
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🚀Embarking on a cosmic journey, the Galaxy Single-cell Community has clustered together to unveil a constellation of tools, making strides in | ||
RNA-stellar discoveries and creating out-of-this-world workflows. With a commitment to battling work duplication across the multiverse, | ||
this community is boldly charting a course for global domination, proving that when it comes to bioinformatics, the Galaxy is the limit!✨ | ||
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# Tools & Workflows | ||
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The past year has been a spectacular journey in advancing tools and workflows within the Galaxy Single-cell Community. | ||
Breaking free from the confines of scRNA-seq, we've expanded our horizons to include tools for analyzing data from other modalities such | ||
as single-cell ATAC-seq and CITE-Seq. Dive into our updated scRNA-seq analysis tools, now featuring more downstream analysis options for | ||
trajectory analysis. We've even thrown in advanced analysis tools for estimating cell type proportions from bulk RNA-seq data! | ||
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**RNA STARSolo** just got a makeover to version 2.7.10b, boasting a revamped UI, Velocyto-like UMI counting, and nifty alternatives for | ||
quantifying single nuclei data. Analyzing single-cell ATAC-seq data on Galaxy is now a breeze with the introduction of | ||
the **EpiScanpy** tool suite, built on the renowned **Scanpy** toolkit. Plus, we've added some powerful tools from the **Sinto** toolkit | ||
for preprocessing scATAC-seq data on Galaxy. And that's not all! The **MuSiC** tool suite in Galaxy now unveils deconvolution tools | ||
for discovering cell type composition in bulk RNA-seq using cell types within scRNA-seq. Multi-faceted comparisons are now at your fingertips with the **MuSiC Compare** tool. | ||
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Seurat fans, rejoice! Updates have rolled in, offering additional functionalities and optional CITE-seq capabilities at runtime. | ||
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# Community Infrastructure | ||
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Our efforts in community building have seen the unification of single-cell subdomains into [https://singlecell.usegalaxy.eu/](https://singlecell.usegalaxy.eu/), | ||
the creation of the Single Cell Community of Practice hub page ([https://galaxyproject.org/projects/singlecell/](https://galaxyproject.org/projects/singlecell/)), | ||
and a user-focused Matrix channel. Testing brilliant widgets, automated updates, and the latest addition of automated help request updates onto | ||
Matrix channels have made community collaboration a breeze. | ||
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# Global Connections | ||
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Down under, the Australian BioCommons launched their [Single Cell and Spatial Omics Analysis Infrastructure Roadmap for Australia](https://zenodo.org/records/10368976), complementing our endeavors to unite across timezones. Collaboration, including international tool adventures across three continents, | ||
proves that team work does, in fact, make the dream work. | ||
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## Training | ||
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Get ready for a thrilling journey through the [Single Cell Training](https://training.galaxyproject.org/training-material/topics/single-cell/)'s latest updates! | ||
The **Case Study Reloaded** tutorial, fueled by three remote-working undergrads, introduces parallel trajectory analysis in R, Python, and the Galaxy GUI. | ||
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Sustainability shines as we've revamped numerous tutorials with hands-on and video re-recordings. New tools bring new tutorials, such as | ||
[Pre-processing of 10X Single-Cell ATAC-seq Datasets](https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/scatac-preprocessing-tenx/tutorial.html) | ||
and [Comparing inferred cell compositions using MuSiC deconvolution](https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/bulk-music-4-compare/tutorial.html). | ||
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Tackling user hurdles, our data ingest and conversion tutorials in the **Changing data formats & preparing objects** section await exploration. | ||
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Dive into the unique **Tips, tricks & other hints** section, offering analysis options like [parameter iteration](https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/scanpy_parameter_iterator/tutorial.html) | ||
for swift optimization or [Removing the effects of the cell cycle](https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/scrna-case_cell-cycle/tutorial.html) for precise clustering analysis. | ||
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And don't miss our inaugural [Learning Pathway](https://training.galaxyproject.org/training-material/learning-pathways/intro_single_cell.html), guiding Galaxy | ||
novices to becoming single-cell analysis experts! | ||
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# Fighting Work Duplication | ||
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Our mission: No more work duplication! We've consolidated single-cell instances and are diligently preventing tool and infrastructure duplication, | ||
creating smoother pathways across servers. We value efficiency here at single-cell, so we'd like to thank ChatGPT (free version) for adding in | ||
Galaxy puns to this post, as per our request. | ||
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# What a Year! | ||
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What's next on our list? World domination or global collaboration? You decide. Stay tuned for another exciting year with the Galaxy Single-cell Community! |