Table 1.
Omics | Objects | Technologies and methods | Advantages | Disadvantages | Literatures |
---|---|---|---|---|---|
Genomics (transcriptomics) |
DNA, mRNA |
Gene sequence, differential display, subtractive hybridization, EST, SAGE, chip technology |
Gene polymorphism Susceptibility for prognosis and treatment Completed database High throughput |
Nonassociation to regulation of life activities Nonconsistent strictly with mRNA expression |
Wu et al. [11] Lu et al. [12] |
| |||||
Proteomics | Amino acids, protein |
Cleaving isotope-coded affinity tag, 2D-MS, 2D-HCLP |
Performer of life function | Instability Variability |
Liu et al. [14] Wu et al. [15] |
| |||||
Metabonomics | Metabolites | NMR, GC-MS, LC-MS | Amplified action Simplicity to detect Less numbers Similarities in different species |
Lack of beneficial supports Interferences by physiological factors |
Van Wietmarschen et al. [17] Sun et al. [18] Liu et al. [19] |
| |||||
Bioinformatics | Data, bioinformation |
Data mining, network analysis, topological comparison, and so on |
Totally holism Exploration of the potential of information Focusing on function relation |
Needing of self-development |
Li [49] |