- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- GOBLET1
- Show N_FILTERS more
-
-
-
Keyword
- Python
- Phylogenetics4
- Databases3
- Multiple sequence alignment3
- Protein sequence analysis3
- Advanced bioinformatics training2
- Animal pathogens2
- Blast2
- Curation2
- E learning2
- Intrinsically disordered proteins2
- Introduction bioinformatics2
- Ontologies2
- Perl2
- Programming2
- Protein function analysis2
- Unix2
- Bioinformatics1
- Bootstrap1
- ChIPSeq1
- Cloud computing1
- Consensus trees1
- De novo genome assembly1
- Mass spectrometry1
- Molecular evolution1
- Multiple sequence analysis1
- NGS1
- Phylogenetic splits1
- Problem based learning1
- Protein identification1
- Protein structure1
- RNASeq1
- Sequence alignment1
- Sequence analysis1
- Training1
- intrinsic disorder prediction1
- intrinsically disordered proteins1
- protein sequence1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Target audience
- Bench biologists
- Biologists7
- beginner bioinformaticians7
- Biologists, Genomicists, Computer Scientists6
- bioinformaticians4
- Students3
- Clinicians2
- PhD students2
- programmers2
- Beginner1
- Bioinformaticians1
- Biomedical Researchers1
- Computational biologists1
- Data Managers1
- Data Scientists1
- Life Science Researchers1
- Life scientists1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- PhD1
- PhD Students1
- Research Scientists1
- Scientists1
- computational scientists1
- post-docs1
- software engineers1
- Show N_FILTERS more
-
- Hide archived materials