- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- Bioinformatics and Biomathematics Training Hub2
- Show N_FILTERS more
-
-
-
Keyword
- Galaxy Server administration53
- Foundations of Data Science51
- jupyter-notebook46
- Single Cell36
- microgalaxy36
- data management34
- training32
- Proteomics31
- Rare Diseases & Research31
- FAIR28
- Genome28
- Molecular28
- Transcriptomics28
- Bioinformatics26
- Development in Galaxy25
- Using Galaxy and Managing your Data25
- Microbiome24
- Contributing to the Galaxy Training Material23
- Genome Annotation23
- Ecology22
- Phylogenetics22
- Statistics and machine learning21
- Assembly20
- Data analysis20
- FAIR data20
- data stewardship20
- FAIR Data, Workflows, and Research19
- ansible19
- DNA RNA18
- Python18
- git-gat18
- Teaching and Hosting Galaxy training17
- Variant Analysis17
- life-sciences17
- 10x16
- Roslin Institute16
- interactive-tools16
- Ontologies15
- R15
- fair15
- gmod15
- jbrowse115
- Anatomy Physiology and Atlases14
- Climate14
- Programming14
- Sequence analysis14
- Data management planning13
- Babraham Institute13
- Epigenetics13
- Introduction to Galaxy Analyses13
- Proteins13
- Shell13
- prokaryote13
- EeLP12
- Metabolomics12
- Pathway12
- eLearning12
- health-informatics12
- paper-replication12
- Cells and Organisms11
- Chemical biology11
- Data management plan11
- Europe PMC11
- Git11
- Introduction bioinformatics11
- MIGHTS11
- cyoa11
- Extras10
- Gene Expression10
- HPC10
- Imaging10
- Literature search10
- Metadata10
- Standards10
- covid1910
- earth-system10
- eukaryote10
- plants10
- RNA-Seq9
- DDA9
- Evolution9
- Genomics9
- Introduction9
- Python biologists9
- computer-science9
- metadata9
- one-health9
- transcriptomics9
- workflows9
- Biomedical Literature8
- Biomodelling8
- Computational chemistry8
- DMP8
- EBV workflow8
- Inferential statistics8
- NGS8
- PDBe8
- Populations8
- Regex8
- Visualisation8
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner2
- Show N_FILTERS more
-
-
-
Target audience
- Any students, postdocs or RAs who have an interest in programming and who intend to carry out computational analysis of their experimental data. Perl is often used for preparing input files for more specialized software such as R, and also to post-process the output from R and various other bioinformatics tools. It is a glue language allowing you to build pipelines of analyses of arbitrary complexity. This two day course is planned to be a gentle introduction to the basic concepts of Perl and will also introduce you to the BioPerl library of modules.1
- Show N_FILTERS more
-
- Hide archived materials
