Abstract
The increased knowledge of the biology of the human organism, its physiology, and pathological degeneration, and the deciphering of the genetic code of the human cell combined with modern microengineering and bioinformatics have led to analytical approaches that address the biological complexity with limited a priori reduction. Instead of analyzing single gene, protein, or metabolite, their entirety, the genome, the proteome, or the metabolome, is analyzed. In accordance with the suffix "-ome" indicating the entirety, these approaches are grouped together under the label "omics." Omics are applied in translational medicine where research findings are to be translated into clinically meaningful applications based on their intrinsic potential for personalized medicine. Diagnosis, prognostication, and therapy response prediction can be assessed in an unbiased fashion applying omics allowing for personalization of medicine from risk evaluation to the management of therapy resistance.
| Original language | English |
|---|---|
| Title of host publication | Translational Medicine |
| Subtitle of host publication | Tools and Techniques |
| Publisher | Elsevier |
| Pages | 67-108 |
| Number of pages | 42 |
| ISBN (Electronic) | 9780128034941 |
| ISBN (Print) | 9780128034606 |
| DOIs | |
| Publication status | Published - Jan 1 2015 |
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Keywords
- Bioinformatics
- Epigenomics
- Genomics
- Metabolomics
- Microarray
- Next-generation sequencing
- Proteomics
- Systems biology
- Transcriptomics
ASJC Scopus subject areas
- Medicine(all)
- Biochemistry, Genetics and Molecular Biology(all)
Cite this
Advancements in Omics Sciences. / Amaro, Adriana; Petretto, Andrea; Angelini, Giovanna; Pfeffer, Ulrich.
Translational Medicine: Tools and Techniques. Elsevier, 2015. p. 67-108.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Advancements in Omics Sciences
AU - Amaro, Adriana
AU - Petretto, Andrea
AU - Angelini, Giovanna
AU - Pfeffer, Ulrich
PY - 2015/1/1
Y1 - 2015/1/1
N2 - The increased knowledge of the biology of the human organism, its physiology, and pathological degeneration, and the deciphering of the genetic code of the human cell combined with modern microengineering and bioinformatics have led to analytical approaches that address the biological complexity with limited a priori reduction. Instead of analyzing single gene, protein, or metabolite, their entirety, the genome, the proteome, or the metabolome, is analyzed. In accordance with the suffix "-ome" indicating the entirety, these approaches are grouped together under the label "omics." Omics are applied in translational medicine where research findings are to be translated into clinically meaningful applications based on their intrinsic potential for personalized medicine. Diagnosis, prognostication, and therapy response prediction can be assessed in an unbiased fashion applying omics allowing for personalization of medicine from risk evaluation to the management of therapy resistance.
AB - The increased knowledge of the biology of the human organism, its physiology, and pathological degeneration, and the deciphering of the genetic code of the human cell combined with modern microengineering and bioinformatics have led to analytical approaches that address the biological complexity with limited a priori reduction. Instead of analyzing single gene, protein, or metabolite, their entirety, the genome, the proteome, or the metabolome, is analyzed. In accordance with the suffix "-ome" indicating the entirety, these approaches are grouped together under the label "omics." Omics are applied in translational medicine where research findings are to be translated into clinically meaningful applications based on their intrinsic potential for personalized medicine. Diagnosis, prognostication, and therapy response prediction can be assessed in an unbiased fashion applying omics allowing for personalization of medicine from risk evaluation to the management of therapy resistance.
KW - Bioinformatics
KW - Epigenomics
KW - Genomics
KW - Metabolomics
KW - Microarray
KW - Next-generation sequencing
KW - Proteomics
KW - Systems biology
KW - Transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85017456559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017456559&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-803460-6.00004-0
DO - 10.1016/B978-0-12-803460-6.00004-0
M3 - Chapter
AN - SCOPUS:85017456559
SN - 9780128034606
SP - 67
EP - 108
BT - Translational Medicine
PB - Elsevier
ER -