One of the top Open Access journals for scholarly publishing, Journal of Data Mining in Genomics and Proteomics, seeks to offer the most comprehensive and trustworthy source of information on new discoveries and advancements.

The Journal of Data Mining in Genomics and Proteomics (JDMGP) offers rapid publication of articles in all fields related to genomic data warehousing, genomic data mining, genomic and proteomics data services, proteomics data warehousing, data warehousing, data mining in drug discovery, statistical data mining, data algorithms, data modelling and intelligence, data mining tools, and comparative proteomics.

A new strategy called proteogenomics, which combines proteomics with genomics and transcriptomics, holds the potential to revolutionise basic, translational, and clinical research. Due to a more thorough and integrated understanding of complicated biological processes, top scientists are discovering new insights by merging genomic and proteomic information.

The proteome of a tumour is the next logical onion to be peeled back after the Human Genome Project told us so much about cancer biology. The explanation for this is that while DNA (genome) is the blueprint for proteins (proteome), it is the proteins that carry out the bulk of the bodily functions of all living cells. Although clinical omics-based research has generally been dominated by genomics, recent efforts by CPTAC have made it increasingly evident that a thorough understanding of the proteome, including its post-translational modifications, is necessary in order to comprehend the genome (PTMs).

The reasons for this are twofold: first, most anti-cancer medications and treatments target proteins; and second, recent research indicates that potentially important alterations at the proteomic level are not always reflected at the genetic level. Globally speaking, proteogenomics is expected to be valuable in oncology for identifying the molecular profile of human cancers and to be translated to other fields of biomedicine and the living sciences.