A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, MOLGENIS, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC, Probabilistic graphical models, GenX, Snakemake-Workflows, ODA, IPK BIT, CO2MICS Lab, FAME, CHU Limoges - UF9481 Bioinformatique / CNR Herpesvirus, Quadram Institute Bioscience - Bioinformatics, HecatombDevelopment, Institute of Human Genetics, Testing RO Crates, Test Team, Applied Computational Biology at IEG/HMGU, INFRAFRONTIER workflows, OME, TransBioNet, OpenEBench, Bioinformatics and Biostatistics (BIO2 ) Core, VIB Bioinformatics Core, CRC Cohort, ICAN, MustafaVoh, Single Cell Unit, CO-Graph, emo-bon, TestEMBL-EBIOntology, CINECA, Toxicology community, Pitagora-Network, Workflows Australia, Medizinisches Proteom-Center, Medical Bioinformatics, AGRF BIO, EU-Openscreen, X-omics, ELIXIR Belgium, URGI, Size Inc, GA-VirReport Team, The Boucher Lab, Air Quality Prediction, pyiron, CAPSID, Edinburgh Genomics, Defragmentation TS, NBIS, Phytoplankton Analysis, Seq4AMR, Workflow registry test, Read2Map, SKM3, ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression, de.NBI Cloud, Meta-NanoSim, ILVO Plant Health, EMERGEN-BIOINFO, KircherLab, Apis-wings, BCCM_ULC, Dessimoz Lab, TRON gGmbH, GEMS at MLZ, Computational Science at HZDR, Big data in biomedicine, TRE-FX, MISTIC, Guigó lab, Statistical genetics, Delineating Regions-of-interest for Mass Spectrometry Imaging by Multimodally Corroborated Spatial Segmentation, OLCF-WES, Bioinformatics Unit @ CRG, Bioinformatics Innovation Lab, BSC-CES, ELIXIR Proteomics, Black Ochre Data Labs, Zavolan Lab, Metabolomics-Reproducibility, Team Cardio, NGFF Tools, Bioinformatics workflows for life science, Workflows for geographic science, Pacific-deep-sea-sponges-microbiome, CSFG, SNAKE, Katdetectr, INFRAFRONTIER GmbH, PerMedCoE, Euro-BioImaging, EOSC-Life WP3 OC Team, cross RI project, ANSES-Ploufragan, SANBI Pathogen Bioinformatics, Biodata Analysis Group, DeSci Labs, Erasmus MC - Viroscience Bioinformatics, ARA-dev, Mendel Centre for Plant Genomics and Proteomics, Metagenomic tools, WorkflowEng, Polygenic Score Catalog, bpm, scNTImpute, Systems Biotechnology laboratory, Cimorgh IT solutions, MLme: Machine Learning Made Easy, Hurwitz Lab, Dioscuri TDA, Scipion CNB, System Biotechnology laboratory, yPublish - Bioinfo tools, NIH CFDE Playbook Workflow Partnership, MMV-Lab, EMBL-CBA, EBP-Nor, Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data, Bioinformatics Laboratory for Genomics and Biodiversity (LBGB), multi-analysis dFC, CholGen, RNA group, Plant Genomes Pipelines in Galaxy, Pathogen Genomic Laboratory, Chemical Data Lab, JiangLab, Pangenome database project, HP2NET - Framework for construction of phylogenetic networks on High Performance Computing (HPC) environment, Center for Open Bioimage Analysis, Generalized Open-Source Workflows for Atomistic Molecular Dynamics Simulations of Viral Helicases, Historical DNA genome skimming, QCDIS, Peter Menzel's Team, NHM Clark group, ESRF Workflow System (Ewoks), Kalbe Bioinformatics, Nextflow4Metabolomics, GBCS, CEMCOF, Jackson Laboratory NGS-Ops, Schwartz Lab, BRAIN - Biomedical Research on Adult Intracranial Neoplasms, Cancer Therapeutics and Drug Safety, Deepdefense, Mid-Ohio Regional Planning Commission, MGSSB, Institute for Human Genetics and Genomic Medicine Aachen, FengTaoSMU, EGA, Plant-Food-Research-Open, KrauthammerLab, Geo Workflows, grassland pDT, FunGIALab, CRIM - Computer Research Institute of Montréal, Medvedeva Lab, Metagenlab, FAIR-EASE, Protein-protein and protein-nucleic acid binding site prediction research, Culhane Lab, IDUN - Drug Delivery and Sensing, Edge Computing DAG Task Scheduling Research Group, Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment, COPO, Taudière group, ErasmusMC Clinical Bioinformatics, interTwin, fluid flow modeling, EnrichDO, WorkflowResearch, Application Security - Test Crypt4GH solutions, RenLabBioinformatics, Yongxin's team, PiFlow, HLee_SeoGroup, UFZ - Image Data Management and Processing Workflows, Korean Bioinformaticians, Into the deep, XChem, CPM, SocialGene, Research Data Management ICE-2, ObjectRecognition, LiDAR, FONDA II C2, Astroparticle Lab, FAIRagro M4.4, Kgerring, QuackenbushLab, Virus sequencing team, SOS, BioImage Informatics and Analysis Workflows, BoostNano, simblockflow, CSSB, Research on Workflow scheduling, Research Data1, CSUbioinformatics, CDPP, Mr., ASD-HRS, data management, FAIR_thesis: Marine acoustic data, CellBinDB, DEEP Lab, University of Amsterdam, SIMEXP, nf-pediatric Team, Kasmanas, Structural Variation Analysis, fuzzyworkflow, CausalCoxMGM Team, Tufts University Center for Cellular Agriculture (TUCCA), Test, CrustyBase, Applied Computational Cancer Research, Click-qPCR, BAID Team, FabianLab, Vector informatics and genomics group, AlmondBreedingLab, Artificial Design for Intelligent Breeding, ELIXIR Biodiversity Community, GROTIA, Biomedical_LLM, WhiteSymmetry, Hämatologie Labor Kiel, pakbaba, Metagenomics Analysis, MTB Bioinformatics Workflows, RTC Bioinformatics, CMG-GUTS
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The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
This collection houses some scanpy-based scRNAseq workflows on galaxy Australia.
The aim of these workflows is to handle the routine ‘boring’ part of single cell RNAseq data processing. It will produces an ‘AnnData’ object, which can then be used as a base for downstream analysis – either within galaxy or outside of it. AnnData is a standard format used by the ‘scanpy’ python package.
These workflows represent just one way of processing data for a ‘typical’ scRNAseq experiment – there are many ...
RNAseq workflow UMG: Here we introduce a scientific workflow implementing several open-source software executed by Galaxy parallel scripting language in an high-performance computing environment. We have applied the workflow to a single-cardiomyocyte RNA-seq data retrieved from Gene Expression Omnibus database. The workflow allows for the analysis (alignment, QC, sort and count reads, statistics generation) of raw RNA-seq data and seamless integration of differential expression results into a ...
Age prediction using machine learning
Associated Tutorial
This workflows is part of the tutorial Age prediction using machine learning, available in the GTN
Thanks to...
Tutorial Author(s): Ekaterina Polkh, [Anup ...
Identify upregulated miRNAS and analyze potential targets in downregulated genes.
Associated Tutorial
This workflows is part of the tutorial Whole transcriptome analysis of Arabidopsis thaliana, available in the GTN
Thanks to...
Tutorial Author(s): Cristóbal Gallardo, ...
This is part of a series of workflows to annotate a genome, tagged with TSI-annotation.
These workflows are based on command-line code by Luke Silver, converted into Galaxy Australia workflows.
The workflows can be run in this order:
- Repeat masking
- RNAseq QC and read trimming
- Find transcripts
- Combine transcripts
- Extract transcripts
- Convert formats
- Fgenesh annotation
About this workflow:
- Repeat this workflow separately for datasets from different tissues.
- Inputs = collections ...
RNA-seq counts to genes
Associated Tutorial
This workflows is part of the tutorial 2: RNA-seq counts to genes, available in the GTN
Thanks to...
Tutorial Author(s): Maria Doyle, Belinda Phipson, ...
RNA-Seq reads to counts
Associated Tutorial
This workflows is part of the tutorial 1: RNA-Seq reads to counts, available in the GTN
Thanks to...
Tutorial Author(s): Maria Doyle, Belinda Phipson, ...
RNA-RNA interactome analysis using ChiRA tool suite
Associated Tutorial
This workflows is part of the tutorial RNA-RNA interactome data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Tutorial Author(s): ...
De novo transcriptome reconstruction with RNA-Seq
Associated Tutorial
This workflows is part of the tutorial De novo transcriptome reconstruction with RNA-Seq, available in the GTN
Thanks to...
Tutorial Author(s): Mallory Freeberg, [Mo ...
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 ...
Long non-coding RNAs (lncRNAs) annotation with FEELnc
Associated Tutorial
This workflows is part of the tutorial Long non-coding RNAs (lncRNAs) annotation with FEELnc, available in the GTN
Thanks to...
Workflow Author(s): Stéphanie Robin
Tutorial Author(s): Stéphanie Robin ...
Updated tool versions Aug 24 2022
Associated Tutorial
This workflows is part of the tutorial Filter, plot and explore single-cell RNA-seq data with Scanpy, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy ...
Visualization of RNA-Seq results with Volcano Plot
Associated Tutorial
This workflows is part of the tutorial Visualization of RNA-Seq results with Volcano Plot, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes ...
Filter, Plot and Explore Single-cell RNA-seq Data
Associated Tutorial
This workflows is part of the tutorial Filter, plot and explore single-cell RNA-seq data with Scanpy, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks
...
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Workflow Author(s): Bérénice Batut, ...
RNA-seq genes to pathways
Associated Tutorial
This workflows is part of the tutorial 3: RNA-seq genes to pathways, available in the GTN
Thanks to...
Tutorial Author(s): Maria Doyle, Belinda Phipson ...
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 ...
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Uses ...
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Workflow Author(s): Bérénice Batut, ...
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 ...
