- Course overview
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- What is bioinformatics?
- The role of public databases
- What makes a good bioinformatics database?
- Managing and sharing data
- Bioinformatics as an experimental science
- Summary
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- References
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References
- Marx, V., (2013) Biology: the big challenges of big data. Nature, 498, 255-260.
- International Human Genome Sequencing Consortium, (2001) Initial sequencing and analysis of the human genome. Nature, 409, 860-921.
- Goodman, A. et al., (2014) Ten simple rules for the care and feeding of scientific data. PLoS Comp. Biol., 10(4):e1003542.
- Masum, H. et al., (2013) Ten simple rules for cultivating open science and collaborative R&D. PLoS Comp. Biol., 9(9):e1003244.
- Michener, W.K., (2015) Ten simple rules for creating a good data management plan. PLoS Comp. Biol., 11(10):e1004525.
- Brazma, A. et al., (2001) Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics, 29, 365-371.
- Stevens, R., Rector, A. and Hull, D., (2010) What is an ontology?. Ontogenesis.
- Kazic, T., (2015) Ten simple rules for experiments’ provenance. PLoS Comp. Biol., 11(10):e1004384.
- Swiss Institute of Bioinformatics. SWISS-MODEL Documentation. Accessed 15 March 2018.