veyepar: Enhancing the JupyterLab Notebook to Overcome Bioinformatics Analysis Challenges with GiN

Author(s):	Jayadev Joshi
Location	Cattleya
Date	jul Sat 27	Days Raw Files
Start	10:15	First Raw Start	09:43
Duration	00:30:00	Offset	0:31:13
End	10:45	Last Raw End	11:13
Chapters	00:00 0:23:01 0:25:14
Total cuts_time	25 min.

https://www.pyohio.org/2024/program/talks/enhancing-the-jupyterlab-notebook-to-overcome-bioinformatics-gin
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assets release.pdf Enhancing_the_JupyterLab_Notebook_to_Overcome_Bioinformatics_Analysis_Challenges_with_GiN.json
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Description:	My talk is focused on GiN, (Galaxy in Notebooks) is an open\-source JupyterLab extension powered by the Galaxy API and JupyterLab’s graphical widget interface. GiN provides a simple, GUI\-based, user\-friendly interface to interact with both local and public Galaxy servers from within JupyterLab. Galaxy (https://usegalaxy.org/) is a widely used open\-source web\-based platform for accessible, reproducible, and transparent big data analysis in biomedical research. JupyterLab is a powerful tool for data scientists, researchers, and developers who want to work with data and code in an interactive and collaborative environment. GiN enables researchers to execute all available Galaxy tools graphically, submit jobs, access history datasets, upload large data files with resumable uploads, and explore job details and output. GiN can be used with a Docker image, making it easy to keep GiN up and running on a local machine. The GiN recipe includes Python, JavaScript, and Node.js modules, and can be downloaded from GitHub and installed with the pip package manager. markdown
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	11:13:46		seconds: 977.0 Wall: 11:00:04
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