Difference between revisions of "BIO Introduction"
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| + | {{#pmid: 24213777}} | ||
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| + | {{#pmid: 24104757}} | ||
{{#pmid: 22975313}} | {{#pmid: 22975313}} | ||
<div class="reference-box">[http://www.biostars.org/ '''BioStar''' Bioinformatics Q/A forum]</div> | <div class="reference-box">[http://www.biostars.org/ '''BioStar''' Bioinformatics Q/A forum]</div> | ||
| + | <div class="reference-box">[http://seqanswers.com/ '''SEQanswers''' next generation sequencing forum]</div> | ||
<div class="reference-box">[http://rosalind.info/problems/locations/ '''Rosalind''' - learning bioinformatics through problem solving]</div> | <div class="reference-box">[http://rosalind.info/problems/locations/ '''Rosalind''' - learning bioinformatics through problem solving]</div> | ||
<div class="reference-box">[http://stackoverflow.com/ '''StackOverflow''' programming Q/A]</div> | <div class="reference-box">[http://stackoverflow.com/ '''StackOverflow''' programming Q/A]</div> | ||
Latest revision as of 05:38, 22 November 2013
Current Bioinformatics
This page is a placeholder, or under current development; it is here principally to establish the logical framework of the site. The material on this page is correct, but incomplete.
Summary ...
Contents
Further reading and resources
| Loman & Watson (2013) So you want to be a computational biologist?. Nat Biotechnol 31:996-8. (pmid: 24213777) |
| Service (2013) Biology's dry future. Science 342:186-9. (pmid: 24115420) |
| Altschul et al. (2013) The anatomy of successful computational biology software. Nat Biotechnol 31:894-7. (pmid: 24104757) |
| Melham (2013) Modelling, abstraction, and computation in systems biology: A view from computer science. Prog Biophys Mol Biol 111:129-36. (pmid: 22975313) |
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[ PubMed ] [ DOI ] Systems biology is centrally engaged with computational modelling across multiple scales and at many levels of abstraction. Formal modelling, precise and formalised abstraction relationships, and computation also lie at the heart of computer science--and over the past decade a growing number of computer scientists have been bringing their discipline's core intellectual and computational tools to bear on biology in fascinating new ways. This paper explores some of the apparent points of contact between the two fields, in the context of a multi-disciplinary discussion on conceptual foundations of systems biology. |
