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Integrative omics for health and disease [PDF]
Nature Reviews Genetics, 2018 Advances in omics technologies - such as genomics, transcriptomics, proteomics and metabolomics - have begun to enable personalized medicine at an extraordinarily detailed molecular level. Individually, these technologies have contributed medical advances that have begun to enter clinical practice.
Konrad J Karczewski
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Integrative clustering methods for multi‐omics data
WIREs Computational Statistics, 2021AbstractIntegrative analysis of multi‐omics data has drawn much attention from the scientific community due to the technological advancements which have generated various omics data. Leveraging these multi‐omics data potentially provides a more comprehensive view of the disease mechanism or biological processes. Integrative multi‐omics clustering is an
Xiaoyu Zhang +3 more
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2015
In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays.
George Tseng +2 more
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In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays.
George Tseng +2 more
openaire +1 more source
Integrative Multi-Omics Through Bioinformatics
2018This chapter introduces different aspects of bioinformatics with a brief discussion in the systems biology context. Example applications in network pharmacology of traditional Chinese medicine, systems metabolic engineering, and plant genome-scale modelling are described.
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Integrative Analysis of Omics Big Data
2018The diversity and huge omics data take biology and biomedicine research and application into a big data era, just like that popular in human society a decade ago. They are opening a new challenge from horizontal data ensemble (e.g., the similar types of data collected from different labs or companies) to vertical data ensemble (e.g., the different ...
Xiang-Tian, Yu, Tao, Zeng
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Integrating Omic Technologies in Alzheimer’s Disease
2017Scientific advances in biomedical disciplines have allowed us to identify the underlying causes of many diseases with increased comprehension-leading the way towards precision medicine. In this context, unique disease and medical traits pave the way for the development of adapted disease management, drugs and therapies tailored to each patient. Bearing
Antigoni, Avramouli +1 more
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Integrating Omics: The Future of IBD?
Digestive Diseases, 2014The complexity of IBD is well recognized as are the putative four major components of its pathogenesis, i.e. environment, genetic makeup, gut microbiota and mucosal immune response. Each of these components is extremely complex on its own, and at present should be more appropriately defined by the terms ‘exposome', ‘genome', ‘microbiome' and ‘immunome',
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