Wikipedia:WikiProject Molecular Biology/Computational Biology

Welcome to the Computational Biology taskforce of WikiProject Molecular Biology.
If you have any questions about articles or are generally seeking advice, you're encouraged to ask at the talkpage of WikiProject Molecular Biology, the centralized point for discussion, thank you.

The Computational Biology taskforce is aimed at improving and organising articles on computational biology, bioinformatics, systems biology and related topics. More broadly, the taskforce aims to increase participation of computational biology researchers in English Wikipedia and other Wikimedia projects, as well as cultivate Wikipedia-related initiatives with academic publishers and learned societies.

The overall goal of the taskforce is to improve the article quality of Wikipedia articles within the scope. The taskforce will assist this goal by:

1. Identifying specific areas for improvement within existing articles
2. Identifying missing topics
3. Expand and improve entry pages, such as Computational biology
4. Provide a systematic structure of concepts within computational biology, using categories, templates and navigation-boxes.
5. Organising articles to provide up-to-date coverage of relevant topics
6. Potentially implement other quality control mechanisms (e.g. scientific peer review)

Topics of interest include:

• "Classical" bioinformatics (i.e. sequence analysis, phylogenetics, genomics, proteomics, metabolomics, software tools and databases)
• Simulation, modelling and analysis of biological systems (as in systems biology) of any scale (molecular structure, gene regulation, metabolism, protein interactions, cell physiology, cell populations, tissue organisation, organ modelling)
• Computational neuroscience, computational immunology
• Analysis and integration of biological concepts (e.g. in ontologies) and of biological data (e.g. microarray or imaging data)
• Important algorithms or techniques widely used in the field (Next generation sequencing analyses, variant calling, etc.)
• Biographies of notable computational biologists
• Centers and institutions of global prominence in the field