- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- Bioinformatics and Biomathematics Training Hub2
- Show N_FILTERS more
-
-
-
Keyword
- Galaxy Server administration51
- Single Cell34
- Foundations of Data Science32
- microgalaxy30
- jupyter-notebook29
- data management27
- Development in Galaxy25
- Transcriptomics25
- training25
- Microbiome24
- Ecology22
- Contributing to the Galaxy Training Material21
- FAIR Data, Workflows, and Research19
- FAIR data19
- Statistics and machine learning19
- ansible19
- FAIR18
- git-gat18
- Using Galaxy and Managing your Data17
- Teaching and Hosting Galaxy training16
- 10x15
- Genome Annotation15
- fair15
- Climate14
- data stewardship14
- interactive-tools14
- Data management planning13
- Assembly13
- Data analysis13
- Epigenetics13
- Introduction to Galaxy Analyses13
- Proteomics12
- Roslin Institute12
- paper-replication12
- Data management plan11
- MIGHTS11
- Variant Analysis11
- earth-system10
- prokaryote10
- Metabolomics9
- Sequence analysis9
- gmod9
- plants9
- EBV workflow8
- Imaging8
- cyoa8
- genes and genomes8
- jbrowse18
- Babraham Institute7
- DDA7
- EBV dataset7
- Evolution7
- Ontologies7
- dmp7
- ocean7
- reproducibility7
- transcriptomics7
- DMP6
- EeLP6
- Metadata6
- Standards6
- Workflows6
- assembly6
- eLearning6
- metagenomics6
- nanopore6
- workflows6
- 16S5
- Clinical data5
- Data management planning5
- ELIXIR-CONVERGE5
- JIC5
- John Innes Centre5
- covid195
- data management plan5
- data sharing5
- data visualisation5
- illumina5
- jobs5
- label-TMT115
- metabarcoding5
- next generation sequencing5
- programming5
- ro-crate5
- Data collection4
- Data preserving4
- Data sharing4
- Bioinformatics4
- DMP tools4
- Data preserving4
- FAIR principles4
- Genetic composition EBV class4
- Python4
- QC4
- R4
- RDF4
- Rare Diseases & Research4
- Sequencing4
- Visualisation4
- bacteria4
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner
- 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