264 related articles for article (PubMed ID: 22258901)
1. The use of high-throughput technologies to investigate vascular inflammation and atherosclerosis.
Döring Y; Noels H; Weber C
Arterioscler Thromb Vasc Biol; 2012 Feb; 32(2):182-95. PubMed ID: 22258901
[TBL] [Abstract][Full Text] [Related]
2. Where are we in genomics?
Hocquette JF
J Physiol Pharmacol; 2005 Jun; 56 Suppl 3():37-70. PubMed ID: 16077195
[TBL] [Abstract][Full Text] [Related]
3. Systems biology of human atherosclerosis.
Shalhoub J; Sikkel MB; Davies KJ; Vorkas PA; Want EJ; Davies AH
Vasc Endovascular Surg; 2014 Jan; 48(1):5-17. PubMed ID: 24212404
[TBL] [Abstract][Full Text] [Related]
4. Genetics, genomics and proteomics in atherosclerosis research.
Tuomisto TT; Binder BR; Ylä-Herttuala S
Ann Med; 2005; 37(5):323-32. PubMed ID: 16179268
[TBL] [Abstract][Full Text] [Related]
5. Next-generation sequencing and potential applications in fungal genomics.
Sanmiguel P
Methods Mol Biol; 2011; 722():51-60. PubMed ID: 21590412
[TBL] [Abstract][Full Text] [Related]
6. A systems biology approach to understanding atherosclerosis.
Ramsey SA; Gold ES; Aderem A
EMBO Mol Med; 2010 Mar; 2(3):79-89. PubMed ID: 20201031
[TBL] [Abstract][Full Text] [Related]
7. The ForeSee (4C) approach for integrative analysis in gene discovery.
Guo Y; Munro RE; Kalaitzopoulos D; Grigoriadis A
Methods Mol Biol; 2011; 760():53-71. PubMed ID: 21779990
[TBL] [Abstract][Full Text] [Related]
8. Data merging for integrated microarray and proteomic analysis.
Waters KM; Pounds JG; Thrall BD
Brief Funct Genomic Proteomic; 2006 Dec; 5(4):261-72. PubMed ID: 16772273
[TBL] [Abstract][Full Text] [Related]
9. The use of network analyses for elucidating mechanisms in cardiovascular disease.
Diez D; Wheelock AM; Goto S; Haeggström JZ; Paulsson-Berne G; Hansson GK; Hedin U; Gabrielsen A; Wheelock CE
Mol Biosyst; 2010 Feb; 6(2):289-304. PubMed ID: 20094647
[TBL] [Abstract][Full Text] [Related]
10. Hippocampal gene profiling: toward a systems biology of the hippocampus.
Valor LM; Barco A
Hippocampus; 2012 May; 22(5):929-41. PubMed ID: 21080408
[TBL] [Abstract][Full Text] [Related]
11. Towards quantitative biology: integration of biological information to elucidate disease pathways and to guide drug discovery.
Fischer HP
Biotechnol Annu Rev; 2005; 11():1-68. PubMed ID: 16216773
[TBL] [Abstract][Full Text] [Related]
12. Genomics and proteomics tools for the clinic.
Rudert F
Curr Opin Mol Ther; 2000 Dec; 2(6):633-42. PubMed ID: 11249740
[TBL] [Abstract][Full Text] [Related]
13. Integrated analysis of ATM mediated gene and protein expression impacting cellular metabolism.
Cheema AK; Timofeeva O; Varghese R; Dimtchev A; Shiekh K; Shulaev V; Suy S; Collins S; Ressom H; Jung M; Dritschilo A
J Proteome Res; 2011 May; 10(5):2651-7. PubMed ID: 21322649
[TBL] [Abstract][Full Text] [Related]
14. Genomic reaction norms: using integrative biology to understand molecular mechanisms of phenotypic plasticity.
Aubin-Horth N; Renn SC
Mol Ecol; 2009 Sep; 18(18):3763-80. PubMed ID: 19732339
[TBL] [Abstract][Full Text] [Related]
15. Advances in plant proteomics.
Chen S; Harmon AC
Proteomics; 2006 Oct; 6(20):5504-16. PubMed ID: 16972296
[TBL] [Abstract][Full Text] [Related]
16. Next-generation sequencing and its applications in molecular diagnostics.
Su Z; Ning B; Fang H; Hong H; Perkins R; Tong W; Shi L
Expert Rev Mol Diagn; 2011 Apr; 11(3):333-43. PubMed ID: 21463242
[TBL] [Abstract][Full Text] [Related]
17. Introduction into the analysis of high-throughput-sequencing based epigenome data.
Huss M
Brief Bioinform; 2010 Sep; 11(5):512-23. PubMed ID: 20457755
[TBL] [Abstract][Full Text] [Related]
18. The value of new high-throughput technologies for diagnosis and prognosis in solid tumors.
Pinto R; De Summa S; Petriella D; Tudoran O; Danza K; Tommasi S
Cancer Biomark; 2014; 14(2-3):103-17. PubMed ID: 24878811
[TBL] [Abstract][Full Text] [Related]
19. Novel biological networks modulated by complement.
Mastellos D; Andronis C; Persidis A; Lambris JD
Clin Immunol; 2005 Jun; 115(3):225-35. PubMed ID: 15893689
[TBL] [Abstract][Full Text] [Related]
20. The impact of omic technologies on the study of food microbes.
O'Flaherty S; Klaenhammer TR
Annu Rev Food Sci Technol; 2011; 2():353-71. PubMed ID: 22129387
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]