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dc.contributor.editorGerner, Christopher
dc.contributor.editorHill, Michelle
dc.date.accessioned2022-01-11T13:51:45Z
dc.date.available2022-01-11T13:51:45Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036525822_918
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/77086
dc.description.abstractGenomics technologies revolutionised biomedicine research, but the genome alone is not sufficient to capture biological complexity. Postgenomic methods, typically based on mass spectrometry, comprise the analysis of metabolites, lipids, and proteins and are an essential complement to genomics and transcriptomics. Multidimensional omics is becoming established to provide accurate and comprehensive state descriptions. This book covers the latest methodological developments for, and applications of integrative multi-omics in biomedical research.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.othertarget identification
dc.subject.othertarget validation
dc.subject.otherlabel-free method for drugs
dc.subject.otheranti-angiogenesis
dc.subject.othermechanism of action
dc.subject.otherreceptor tyrosine kinases
dc.subject.othercurcumin
dc.subject.othernatural products
dc.subject.otherlipid
dc.subject.otherlipidomics
dc.subject.othercardiac metaplasia
dc.subject.otherBarrett’s esophagus
dc.subject.otheresophageal adenocarcinoma
dc.subject.othermicrobiota
dc.subject.otherDNA sensing
dc.subject.otherIFI16
dc.subject.othercGAS
dc.subject.otherinnate immunity
dc.subject.otherprotein interactions
dc.subject.othervirus–host interactions
dc.subject.otherpost-translational modifications
dc.subject.othermass spectrometry
dc.subject.otherproteomics
dc.subject.othertranscriptomics
dc.subject.othermulti-omics
dc.subject.othermulti-omics analysis
dc.subject.otherstudy design
dc.subject.otherbioinformatics
dc.subject.othermachine learning
dc.subject.otheranalysis flow
dc.subject.othermetabolomics
dc.subject.otherplanned myocardial infarction (PMI)
dc.subject.othermyocardial infarction (MI)
dc.subject.otherexercise
dc.subject.otherheart
dc.subject.othercheminformatics
dc.subject.otherbatch variations
dc.subject.othereicosanoids
dc.subject.otherfetal calf serum
dc.subject.otherperoxisomes
dc.subject.otherhost-pathogen interactions
dc.subject.othersecretome
dc.subject.othermacrophages
dc.subject.otheracute myeloid leukemia
dc.subject.otherHL-60 cell line
dc.subject.otherATRA
dc.subject.otherinduced differentiation
dc.subject.othertranscriptome
dc.subject.otherproteome
dc.subject.othertranscription factors
dc.subject.otherkey molecules
dc.subject.otherregulatory pathway modelling
dc.subject.otherSRM
dc.subject.otherendometriosis
dc.subject.otherinflammation
dc.subject.othern/a
dc.titleIntegrative Multi-Omics in Biomedical Research
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2583-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036525822
oapen.relation.isbn9783036525839
oapen.pages178
oapen.place.publicationBasel, Switzerland


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