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77 changes: 77 additions & 0 deletions content/news/2023-12-23-galaxy-sc-2023-in-review/index.md
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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]
---

<div class="float-right" style="max-width: 400px">

![swirled cluster dots surround a circle of people all holding hands, looking towards the bright center (future)](./2023_dec_sc.png)

</div>

🚀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!✨

# Tools & Workflows

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!

**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.

Seurat fans, rejoice! Updates have rolled in, offering additional functionalities and optional CITE-seq capabilities at runtime.

# Community Infrastructure

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.

# Global Connections

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.

## Training

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.

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).

Tackling user hurdles, our data ingest and conversion tutorials in the **Changing data formats & preparing objects** section await exploration.

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.

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!


# Fighting Work Duplication

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.

# What a Year!

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!

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