- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- ChIP-exo16
- ChIP-seq16
- ChIP-sequencing16
- Chip Seq16
- Chip sequencing16
- Chip-sequencing16
- Chromosome walking9
- Clone verification9
- DNA-Seq9
- DNase-Seq9
- High throughput sequencing9
- High-throughput sequencing9
- NGS9
- NGS data analysis9
- Next gen sequencing9
- Next generation sequencing9
- Panels9
- Primer walking9
- Sanger sequencing9
- Sequencing9
- Targeted next-generation sequencing panels9
- DNA methylation8
- Epigenetics8
- Histone modification8
- Methylation profiles8
- Exomes6
- Genome annotation6
- Genomes6
- Genomics6
- MicroRNA sequencing6
- Personal genomics6
- RNA sequencing6
- RNA-Seq6
- RNA-Seq analysis6
- Small RNA sequencing6
- Small RNA-Seq6
- Small-Seq6
- Synthetic genomics6
- Transcriptome profiling6
- Variant pattern analysis6
- Viral genomics6
- WTSS6
- Whole genomes6
- Whole transcriptome shotgun sequencing6
- miRNA-seq6
- Single-cell genomics4
- Single-cell sequencing4
- Comparative transcriptomics3
- Epigenomics3
- Transcriptome3
- Transcriptomics3
- Functional genome annotation2
- Metagenome annotation2
- Metagenomics2
- Shotgun metagenomics2
- Structural genome annotation2
- Active learning1
- Antimicrobial stewardship1
- Bayesian methods1
- Biostatistics1
- Bottom-up proteomics1
- Breakend assembly1
- Comparative genomics1
- Data management1
- Data rendering1
- Data visualisation1
- Descriptive statistics1
- Discovery proteomics1
- Enrichment1
- Enrichment analysis1
- Ensembl learning1
- Exometabolomics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional enrichment1
- Gaussian processes1
- Genome assembly1
- Genomic assembly1
- 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
- Metaproteomics1
- Microbial genetics1
- Microbial physiology1
- Microbial surveillance1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Keyword
- ChIP-seq
- Statistics61
- R33
- Statistics and machine learning22
- Machine learning13
- Data science8
- Python7
- Genomics5
- RNA-seq5
- General4
- Next generation sequencing4
- Transcriptomics4
- interactive-tools4
- Data visualization3
- Single-cell sequencing3
- Variant analysis3
- Biostatistics2
- deep-learning2
- jupyter-lab2
- machine-learning2
- statistics2
- ATAC-seq1
- Artificial intelligence1
- Babraham Institute1
- Comparative genomics1
- Data management1
- EeLP1
- Epigenetics1
- FAIR data1
- Galaxy1
- Genome annotation1
- Genome assembly1
- Long read sequencing1
- Metabolomics1
- Metagenomics1
- Microbiology1
- Multiomics1
- Open access1
- Pan-cancer1
- Pathways and Networks1
- Proteomics1
- Reproducibility1
- Rmarkdown1
- Snakemake1
- Unix/Linux1
- Version control1
- biostatistics1
- cancer biomarkers1
- dephosphorylation-site-prediction1
- eLearning1
- fine-tuning1
- image-segmentation1
- machine learning1
- microbial ecosystems1
- microbiome1
- oncogenes and tumor suppressor genes1
- protein-3D-structure1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Licence
- MIT License1
- Show N_FILTERS more
-
-
-
Contributor
- Galaxy Project1
- Show N_FILTERS more
-
- Show archived materials