About: Taking Bioinformatics to Systems Medicine

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Taking Bioinformatics to Systems Medicine
Creator	Van Kampen, Antoine Moerland, Perry
Source	PMC
abstract	Systems medicine promotes a range of approaches and strategies to study human health and disease at a systems level with the aim of improving the overall well-being of (healthy) individuals, and preventing, diagnosing, or curing disease. In this chapter we discuss how bioinformatics critically contributes to systems medicine. First, we explain the role of bioinformatics in the management and analysis of data. In particular we show the importance of publicly available biological and clinical repositories to support systems medicine studies. Second, we discuss how the integration and analysis of multiple types of omics data through integrative bioinformatics may facilitate the determination of more predictive and robust disease signatures, lead to a better understanding of (patho)physiological molecular mechanisms, and facilitate personalized medicine. Third, we focus on network analysis and discuss how gene networks can be constructed from omics data and how these networks can be decomposed into smaller modules. We discuss how the resulting modules can be used to generate experimentally testable hypotheses, provide insight into disease mechanisms, and lead to predictive models. Throughout, we provide several examples demonstrating how bioinformatics contributes to systems medicine and discuss future challenges in bioinformatics that need to be addressed to enable the advancement of systems medicine.
has issue date	2015-08-13(xsd:dateTime)
bibo:doi	10.1007/978-1-4939-3283-2_2
bibo:pmid	26677177
has license	no-cc
sha1sum (hex)	e553cb7c661b97c4e1a0133fc09d17b3a242ff5b
schema:url	https://doi.org/10.1007/978-1-4939-3283-2_2
resource representing a document's title	Taking Bioinformatics to Systems Medicine
has PubMed Central identifier	PMC7120931
has PubMed identifier	26677177
schema:publication	Systems Medicine
resource representing a document's body	covid:e553cb7c661b97c4e1a0133fc09d17b3a242ff5b#body_text
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