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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 ...
SINGLE-END workflow. Align reads on fasta reference/assembly using bwa mem, get a consensus, variants, mutation explanations.
IMPORTANT:
- For "bcftools call" consensus step, the --ploidy file is in "Données partagées" (Shared Data) and must be imported in your history to use the worflow by providing this file (tells bcftools to consider haploid variant calling).
- SELECT the mot ADAPTED VADR MODEL for annotation (see vadr parameters).
PAIRED-END workflow. Align reads on fasta reference/assembly using bwa mem, get a consensus, variants, mutation explanations.
IMPORTANT:
- For "bcftools call" consensus step, the --ploidy file is in "Données partagées" (Shared Data) and must be imported in your history to use the worflow by providing this file (tells bcftools to consider haploid variant calling).
- SELECT THE MOST ADAPTED VADR MODEL for annotation (see vadr parameters).