- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- Bioinformatics and Biomathematics Training Hub2
- Show N_FILTERS more
-
-
-
Keyword
- R358
- Python273
- hbovpk224
- Hochschuldidaktik218
- Hochschullehre194
- QUADIS172
- Genomics169
- Transcriptomics161
- Hochschule140
- Didaktik134
- Seminar130
- RNA-seq128
- Data management125
- Elementar+124
- Kursmaterial122
- FAIR119
- Next generation sequencing119
- Workshop118
- FAIR data115
- Vorlage107
- asynchron107
- biodiversity106
- Template104
- Barrierefreiheit102
- Bioinformatics101
- Onlinelehre101
- blended learning93
- synchron93
- Data science89
- Profilehreplus88
- CHE86
- Statistics86
- jupyter-notebook85
- OER83
- Reproducibility82
- digital gestützte Lehre82
- Machine learning81
- microgalaxy81
- Educación física77
- Lehre77
- data management74
- Entrenamiento70
- Open Science69
- Galaxy Server administration68
- HBOVPK65
- Verpleegkunde65
- gaming65
- Unix/Linux64
- Spiel (Spielen, Spiele)63
- Behinderung (Behinderungen)61
- Single-cell sequencing61
- Data visualization59
- Open educational Resources58
- Workflows58
- Bereich A Lehr-Lern-Konzepte57
- maan kasvukunto57
- Digitalisierung (Digitale Transformation, Digitaler Wandel)56
- Proteomics56
- metagenomics56
- work-in-progress56
- Blended Learning55
- Version control55
- Jukka Rajala54
- Foundations of Data Science52
- ProfiLehrePlus52
- training52
- E-Learning (Learning on demand, Digitales Lernen)51
- HU51
- Studiehandleiding50
- Variant analysis50
- HAN49
- metadata49
- Steckbrief48
- Deporte47
- RDM47
- luomu47
- Digitalisierung46
- Genome assembly46
- Statistics and machine learning46
- Development in Galaxy45
- HSLeiden44
- Salud44
- Bildung43
- Galaxy42
- Single Cell42
- programming42
- Digitale Lehre40
- Zorgverlener40
- luomutuotanto40
- Metagenomics39
- Weiterbildung39
- avans39
- workshop39
- Digitale Spiele38
- Medienpädagogik38
- Genome annotation37
- ICF37
- QC37
- Actividad física36
- Digital gestützte Lehre36
- Show N_FILTERS more
-
-
-
Competency 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
-
- Show materials from all spaces
- Show disabled materials
- Hide materials with broken links
- Show archived materials