Pharmacogenomics is the study of the impact of genetic variations or genotypes of individuals on their drug response or drug metabolism. Compared to traditional genomics research, pharmacogenomic research is more closely related to clinical practice. Pharmacogenomic discoveries may effectively assist clinicians and healthcare providers in determining the right drugs and proper dose for each patient, which can help avoid side effects or adverse reactions, and improve the drug therapy. Currently, pharmacogenomic approaches have proven their utility when it comes to the use of cardiovascular drugs, antineoplastic drugs, aromatase inhibitors, and agents used for infectious diseases. The rapid innovation in sequencing technology and genome-wide association studies has led to the development of numerous data resources and dramatically chan-ged the landscape of pharmacogenomic research. Here we describe some of these web resources along with their names, web links, main contents, and our ratings.

MicroRNAs(miRNAs)are important regulators in gene expression.The dysregulation of miRNA expression is widely reported in the transformation from physiological to pathological states of cells.A large number of differentially expressed miRNAs(DEMs)have been identified in various human cancers by using high-throughput technologies,such as microarray and miRNA-seq.Through mining of published studies with high-throughput experiment information,the data-base of DEMs in human cancers(dbDEMC)was constructed with the aim of providing a systematic resource for the storage and query of the DEMs.Here we report an update of the dbDEMC to version 3.0,which contains two-fold more data entries than the second version and now includes also data from mice and rats.The dbDEMC 3.0 contains 3268 unique DEMs in 40 different cancer types.The current datasets for differential expression analysis have expanded to 9 generalized cat-egories.Moreover,the current release integrates functional annotations of DEMs obtained by using experimentally validated targets.The annotations can be of great benefit to the intensive analysis of the roles of DEMs in cancer.In summary,dbDEMC 3.0 provides a valuable resource for charac-terizing molecular functions and regulatory mechanisms of DEMs in human cancers.