Table 10.

A novel research publication type with big-omics experimental database mining analyses leads to original new findings and generate anew hypotheses. A few aspects of comparisons were made within this study using big-omics experimental database mining approaches, the traditional literature reviews and the meta-analysis.

category	Big-omics Database mining	Traditional literature review	meta analysis
Analysis of experimental Data (NIH-Geo-DataSets with microarray experimental data, etc.)	yes	no	yes
Original new Findings	yes	no	no
Association research (gene co-expression patterns at the same pathology or stimuli)	yes	no	yes
Causative research (upstream regulator gene deficient microarrays, …)	yes	no	no
Panoramic view at multiple mechanisms and pathways	yes	yes	yes
Improvement of our understanding	yes	yes	yes
Searchable Database requirements and tools	yes	no	yes
New publication types after –omics and high throughput experimental data generation	yes	no	yes
Different focuses from original papers	yes	no	no
Use of Ingenuity Pathway Analysis (IPA) to analyze experimental data	yes	no	no
Bioinformatic prediction	no	no	no
Future experimental verification	yes	yes	yes
Summary of previous reports	no	yes	yes
Example	PMID: 22438968 [our datamining paper focusing on IL-35 (highly cited by 173 papers) ]	PMID: 24060958 [a Nature Review paper of management of hypertriglyceridaemia]	PMID: 23083786 [a meta-analysis paper focusing on Effects of fibrates in kidney disease]
experimental papers verifying the findings originated from example paper	PMIDs: 26085094; 29371247	N/A	PMID: 25419705
Use of multiple NIH databases including PubMed database (https://www.ncbi.nlm.nih.gov/books/NBK143764/) yes	yes	no	no