Workflows
What is a Workflow?Filters
Image processing pipeline from movies to micrographs, including CTF estimation and quality filters for image curation.
Metatranscriptomics analysis using microbiome RNA-seq data
Associated Tutorial
This workflows is part of the tutorial Metatranscriptomics analysis using microbiome RNA-seq data, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes ...
Metatranscriptomics analysis using microbiome RNA-seq data (short)
Associated Tutorial
This workflows is part of the tutorial Metatranscriptomics analysis using microbiome RNA-seq data (short), available in the GTN
Features
- Includes Galaxy Workflow Tests ...
Metatranscriptomics analysis using microbiome RNA-seq data (short)
Associated Tutorial
This workflows is part of the tutorial Metatranscriptomics analysis using microbiome RNA-seq data (short), available in the GTN
Features
- Includes Galaxy Workflow Tests ...
Metatranscriptomics analysis using microbiome RNA-seq data (short)
Associated Tutorial
This workflows is part of the tutorial Metatranscriptomics analysis using microbiome RNA-seq data (short), available in the GTN
Features
- Includes Galaxy Workflow Tests ...
Perform background subtraction, nuclear segmentation, feature quantification, cellular phenotyping, spatial analysis, and interactive visualization of registered TMA core multiplex tissue images
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support
Introduction
Knowledge graphs and large language models (LLMs) serve as key tools for biomedical knowledge integration and reasoning, facilitating the structured organization of literature and the discovery of deep semantic relationships. However, existing methods still face challenges in knowledge mining and cross-document reasoning: knowledge graph construction is constrained ...
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support
Introduction
Knowledge graphs and large language models (LLMs) serve as key tools for biomedical knowledge integration and reasoning, facilitating the structured organization of literature and the discovery of deep semantic relationships. However, existing methods still face challenges in knowledge mining and cross-document reasoning: knowledge graph construction is constrained ...
Using:
- vadr annotation (virus model must be selected in options)
- vardict variant caller
- coverage depth Provides summarizing files:
- png image of variant calling with annotations and coverage depths
- tsv file with all information of significant variants only
Type: Galaxy
Creators: Fabrice Touzain, This study was founded by the French National Research Agency and by Santé publique France as part of the project "EMERGEN". Anses Ploufragan research was also supported by Agglomération de Saint-Brieuc, Département des Côtes d'Armor and Région Bretagne
Submitter: Fabrice Touzain