With the proliferation of the Semantic Web, more and more large-scale ontologies are being developed in real-world applications to represent and integrate knowledge and data.
Over the coming years, more and more large-scale omics datasets will become available to characterize patients with complex and heterogeneous diseases at a molecular level.
Hence a definite conclusion cannot be made and more large-scale population studies will be much required to clarify this finding.
With wide applications of MALDI-TOF MS and SELDI-TOF MS in biomedical studies, more and more large-scale MS datasets have being obtained [ 1- 6].
Due to the availability of more and more large-scale datasets from modern pyro-sequencing techniques, high-throughput analysis methods for thousands of RNAs are needed.
Therefore, the conclusion should be interpreted with caution and more large-scale studies are warranted to confirm the results in the future.
Fine-mapping of loci is a critical step in the translation of GWAS discoveries into functional research, and more large-scale efforts such as those for the FTO locus by the PAGE study will be important.
We see more and more large-scale general practice (GP) cooperatives with central triage and sometimes a combination of primary care and accident and emergency (A&E) departments in hospitals [ 1- 6].
This is the first epidemiologic study to demonstrate the impact of prenatal pollution exposure on BMI during the preschool years, and more large-scale prospective studies are certainly warranted.
As more and more large-scale microbiome datasets are being collected, we expect that our generalized UniFrac distances can help to identify important covariates that are associated with the microbiomes that could be missed using the commonly used UniFrac distances.
However, a large volume of genome-wide molecular neuropharmacology data, such as microarray gene expression [ 31] and genome-wide association studies [ 32], is available, and more large-scale data will be available in the near future due to the rapid advances in genome-wide technologies and strong support from pharmacology communities.
