- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- Bioinformatics and Biomathematics Training Hub2
- Show N_FILTERS more
-
-
-
Keyword
- perl
- QC29
- Alignment26
- BAM20
- FASTQ20
- RDM20
- data management20
- sensitive data19
- Differential-expression19
- Pre-processing19
- REDCap19
- RNA-Seq19
- Roslin Institute17
- R-programming16
- Annotation15
- Earlham Institute14
- Statistical-model14
- Babraham Institute13
- Exploratory-analysis13
- ChIP-Seq11
- Expression-estimation11
- Feature-summarisation10
- REMBI10
- Experimental-design8
- GFF38
- Populus-tremula8
- metadata8
- Data-format7
- FAIR7
- JIC7
- John Innes Centre7
- Peak-calling7
- Visualisation6
- Differential-binding5
- HTS-introduction5
- IBERS5
- IFR5
- Institute of Biological, Environmental and Rural Sciences5
- Institute of Food Research5
- Quadram Institute5
- Reproducibility5
- data5
- sensitive data5
- sensitive human data5
- Data analysis4
- FastQC4
- lipid maps4
- lipidmaps4
- lipidomics4
- lipids4
- Data management3
- FASTA3
- Genetic Engineering3
- Homo-sapiens3
- Molecular biology3
- Open Science3
- Sequencing3
- Unix3
- RNA-Seq2
- Data Life Cycle2
- Data download2
- Data querying2
- Data sharing2
- Data storage2
- GitHub2
- Graphical modelling2
- Image Data2
- NGS2
- Phylogenetics2
- Sample size2
- VCF2
- bioimage2
- data sharing2
- data storage2
- genome engineering2
- research data management2
- R programming1
- R-programming1
- Assembly1
- BCF1
- Bioinformatics1
- Bioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material1
- Bioschemas1
- CRAM1
- ChIP-Seq-QC1
- Cloning1
- Command line1
- Computational modelling1
- Continuous integration1
- Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material1
- DNA engineering1
- Data Management1
- Data Policies1
- Data Science1
- Data Steward1
- Data carpentry1
- Data integration1
- Data managment plan1
- Data publishing1
- Databases1
- 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