- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Active learning1
- Antimicrobial stewardship1
- Bayesian methods1
- Biostatistics1
- Bottom-up proteomics1
- Breakend assembly1
- ChIP-exo1
- ChIP-seq1
- ChIP-sequencing1
- Chip Seq1
- Chip sequencing1
- Chip-sequencing1
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- Comparative transcriptomics1
- DNA methylation1
- DNA-Seq1
- DNase-Seq1
- Data management1
- Descriptive statistics1
- Discovery proteomics1
- Ensembl learning1
- Epigenetics1
- Exomes1
- Exometabolomics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional genome annotation1
- Gaussian processes1
- Genome annotation1
- Genome assembly1
- Genomes1
- Genomic assembly1
- Genomics1
- High throughput sequencing1
- High-throughput sequencing1
- Histone modification1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Machine learning1
- Markov processes1
- Mass spectrometry-based metabolomics1
- Medical microbiology1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- Metadata management1
- Metagenome annotation1
- Metagenomics1
- Metaproteomics1
- Methylation profiles1
- MicroRNA sequencing1
- Microbial genetics1
- Microbial physiology1
- Microbial surveillance1
- Microbiological surveillance1
- Microbiology1
- Molecular infection biology1
- Molecular microbiology1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- NMR-based metabolomics1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Peptide identification1
- Personal genomics1
- Primer walking1
- Probabilistic graphical model1
- Probability1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Recommender system1
- Reinforcement learning1
- Research data management (RDM)1
- Sanger sequencing1
- Sequence assembly (genome assembly)1
- Sequencing1
- Shotgun metagenomics1
- Single-cell genomics1
- Single-cell sequencing1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Keyword
- Metabolomics
- ATAC-seq1
- ChIP-seq1
- Comparative genomics1
- Data management1
- Data science1
- Epigenetics1
- FAIR data1
- Galaxy1
- General1
- Genome annotation1
- Genome assembly1
- Genomics1
- Long read sequencing1
- Machine learning1
- Metagenomics1
- Microbiology1
- Next generation sequencing1
- Proteomics1
- Python1
- R1
- RNA-seq1
- Reproducibility1
- Single-cell sequencing1
- Snakemake1
- Statistics1
- Transcriptomics1
- Unix/Linux1
- Variant analysis1
- Version control1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Licence
- MIT License1
- Show N_FILTERS more
-
-
-
Author
- Galaxy Project
- Mélanie Petera4
- Gildas Le Corguillé3
- Jean-François Martin3
- Workflow4Metabolomics core team3
- Helge Hecht2
- Melanie Föll2
- Cécile Canlet1
- Egon Willighagen1
- Germana Baldi1
- Jacob Rasmussen1
- Jaelle Brealey1
- Julia Jakiela1
- Julien Saint-Vanne1
- Maren Stillger1
- Martin Hansen1
- Matej Troják1
- Maxim Skoryk1
- Melanie Pajero1
- Morten Limborg1
- Payne, Thomas (orcid: 0000-0001-7522-981X)1
- Rob Finn1
- Sandy Rogers1
- Sofia Marcos1
- Varsha Kale1
- Yann Guitton1
- bioinformatics.ca1
- Show N_FILTERS more
-
-
-
Contributor
- Galaxy Project1
- Show N_FILTERS more
-
- Hide disabled materials
- Show archived materials