Explore
Integrative Multi-Omics in Biomedical Research
0 Ungluers have
Faved this Work
Login to Fave
Genomics 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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 38 times via unglue.it ebook links.
- 38 - pdf (CC BY) at Unglue.it.
Keywords
- acute myeloid leukemia
- analysis flow
- anti-angiogenesis
- ATRA
- Barrett’s esophagus
- batch variations
- Bioinformatics
- Biology, Life Sciences
- cardiac metaplasia
- cGAS
- cheminformatics
- curcumin
- DNA sensing
- Eicosanoids
- endometriosis
- esophageal adenocarcinoma
- Exercise
- fetal calf serum
- Heart
- HL-60 cell line
- Host-Pathogen Interactions
- IFI16
- induced differentiation
- Inflammation
- innate immunity
- key molecules
- label-free method for drugs
- Lipid
- lipidomics
- Machine learning
- Macrophages
- Mass Spectrometry
- Mathematics & science
- mechanism of action
- metabolomics
- microbiota
- multi-omics
- multi-omics analysis
- myocardial infarction (MI)
- n/a
- Natural Products
- Peroxisomes
- planned myocardial infarction (PMI)
- post-translational modifications
- protein interactions
- proteome
- Proteomics
- receptor tyrosine kinases
- Reference, information & interdisciplinary subjects
- regulatory pathway modelling
- Research & information: general
- Secretome
- SRM
- study design
- Target identification
- Target validation
- Transcription Factors
- transcriptome
- Transcriptomics
- virus–host interactions
Links
DOI: 10.3390/books978-3-0365-2583-9Editions