- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Computer programming
- Algorithms51
- Data structures51
- Programming languages51
- Software development51
- Software engineering51
- Biological sequences31
- Sequence analysis31
- Sequence databases31
- Community analysis28
- Environmental microbiology28
- Microbial ecology28
- Microbiome28
- Molecular community analysis28
- Bottom-up proteomics27
- Comparative transcriptomics27
- Discovery proteomics27
- MS-based targeted proteomics27
- MS-based untargeted proteomics27
- Metaproteomics27
- Peptide identification27
- Protein and peptide identification27
- Proteomics27
- Quantitative proteomics27
- Targeted proteomics27
- Top-down proteomics27
- Transcriptome27
- Transcriptomics27
- Metagenomics26
- Shotgun metagenomics26
- Assembly25
- Sequence assembly25
- Computational ecology22
- Ecoinformatics22
- Ecological informatics22
- Ecology22
- Ecosystem science22
- Bayesian methods21
- Biostatistics21
- Descriptive statistics21
- Gaussian processes21
- Inferential statistics21
- Markov processes21
- Multivariate statistics21
- Probabilistic graphical model21
- Probability21
- Statistics21
- Statistics and probability21
- Antimicrobial stewardship17
- DNA variation17
- Exomes17
- Genetic variation17
- Genome annotation17
- Genomes17
- Genomic variation17
- Genomics17
- Medical microbiology17
- Microbial genetics17
- Microbial physiology17
- Microbial surveillance17
- Microbiological surveillance17
- Microbiology17
- Molecular infection biology17
- Molecular microbiology17
- Mutation17
- Personal genomics17
- Polymorphism17
- Somatic mutations17
- Synthetic genomics17
- Viral genomics17
- Whole genomes17
- Taxonomy15
- Epigenomics13
- Diffraction experiment12
- Imaging12
- Microscopy12
- Microscopy imaging12
- Optical super resolution microscopy12
- Photonic force microscopy12
- Photonic microscopy12
- Exometabolomics10
- LC-MS-based metabolomics10
- MS-based metabolomics10
- MS-based targeted metabolomics10
- MS-based untargeted metabolomics10
- Mass spectrometry-based metabolomics10
- Metabolites10
- Metabolome10
- Metabolomics10
- Metabonomics10
- NMR-based metabolomics10
- Computational chemistry9
- Evolution9
- Evolutionary biology9
- DNA metabarcoding7
- Environmental metabarcoding7
- Metabarcoding7
- RNA metabarcoding7
- eDNA metabarcoding7
- eRNA metabarcoding7
- Show N_FILTERS more
-
-
-
Content provider
- Galaxy Training51
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner32
- Intermediate17
- Advanced2
- Show N_FILTERS more
-
-
-
Target audience
- Students
- Galaxy Administrators25
- Life scientists2
- Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
- 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
- For beginners interested in using Python to solve problems in Biology.1
- biologists1
- Show N_FILTERS more
-
-
-
Resource type
- e-learning49
- slides2
- Show N_FILTERS more
-
- Show archived materials
