- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- BioData.pt1
- Show N_FILTERS more
-
-
-
Keyword
- R331
- Genomics168
- Transcriptomics160
- Python149
- RNA-seq127
- Next generation sequencing119
- Data management104
- Bioinformatics98
- Statistics80
- FAIR data77
- FAIR69
- Galaxy Server administration68
- Machine learning68
- Reproducibility68
- Data science67
- Single-cell sequencing61
- Unix/Linux61
- Proteomics56
- jupyter-notebook55
- Workflows54
- Data visualization51
- Version control51
- Foundations of Data Science50
- Variant analysis50
- data management48
- biodiversity47
- metagenomics47
- Development in Galaxy45
- Statistics and machine learning45
- Genome assembly43
- Galaxy41
- Single Cell41
- microgalaxy41
- training39
- Metagenomics38
- General36
- Genome annotation36
- Rare Diseases & Research36
- FAIR Data, Workflows, and Research33
- QC33
- Microbiome32
- Nextflow32
- Genome Annotation31
- Ecology30
- programming30
- Assembly28
- FAIR principles28
- Genome28
- Metadata28
- Molecular28
- Alignment27
- Contributing to the Galaxy Training Material27
- Data analysis27
- Phylogenetics27
- Using Galaxy and Managing your Data27
- biohackaton 201827
- Epigenetics26
- Long read sequencing26
- RDM26
- bioinformatics26
- Docker25
- Data reuse24
- Annotation23
- Containerization23
- data stewardship23
- ChIP-seq22
- High performance computing22
- Metabolomics22
- Microbiology22
- Shiny22
- NGS21
- Open Science21
- RNA-Seq21
- Spatial transcriptomics21
- ansible21
- metadata21
- reproducible research21
- BAM20
- FASTQ20
- Research Data Management20
- life-sciences20
- sensitive data19
- CfRR19
- Cloud computing19
- Differential-expression19
- FAIR Data19
- Imaging19
- Pre-processing19
- REDCap19
- Sequence analysis19
- git-gat19
- scientific computing19
- Artificial intelligence18
- Comparative genomics18
- Data sharing18
- Programming18
- Variant Analysis18
- interactive-tools18
- transcriptomics18
- work-in-progress18
- Show N_FILTERS more
-
-
-
Competency level
- Not specified1
- Show N_FILTERS more
-
-
-
Target audience
- Life Science Researchers1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.1
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia.1
- Show N_FILTERS more
-
-
-
Resource type
- Course materials1
- Training materials1
- Show N_FILTERS more
-
-
-
Status
- Active1
- Show N_FILTERS more
-
- Show materials from all spaces
- Show disabled materials
- Hide materials with broken links
- Show archived materials