"Big data" is a term to describe data sets so large or complex that traditional data processing strategies are inadequate. As continued advancements in biomedical technologies generate an increasing amount of patient data, administration of patient-centered care will depend, in part, on the...
In February 2019, the precisionFDA and the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) (in coordination with DREAM Challenges) proudly announced the best performers in the first-ever...
It is no coincidence that one cellular process is mentioned time and time again in discussions of cell-signaling pathways in cancer - that is phosphorylation. Since its discovery, it has come to be recognized as a global regulator of many intracellular processes such as growth, proliferation,...
In biomedical research, sample mislabeling, or incorrect annotation has been a long-standing problem that contributes to irreproducible results and invalid conclusions. These problems are particularly prevalent in large scale multi-omics studies where human errors could arise during sample...
University of Michigan Rogel Cancer Center researchers Arul Chinnaiyan, Alexey Nesvizhskii and colleagues have recently teamed up to catalog circular RNA (circRNA) in multiple cancers and conducted initial research that suggests these stable structures could serve as cancer markers in blood or...
CPTAC researchers Arul Chinnaiyan, Alexey Nesvizhskii and colleagues at the University of Michigan Rogel Cancer Center have recently cataloged circular RNA (circRNA) in multiple cancers and conducted initial research that suggests these stable structures could serve as cancer markers in blood or...
Integrative proteogenomic methods use mass spectrometry (MS)-based proteomic database for identifying new genomic alterations and validating novel protein sequences as potential disease biomarkers or therapeutic targets. The customized database approach is time consuming and not feasible for...
Integrative proteogenomic methods use mass spectrometry (MS)-based proteomic database for identifying new genomic alterations and validating novel protein sequences as potential disease biomarkers or therapeutic targets. The customized database approach is time consuming and not feasible for...
Built on a continuous partnership between National Cancer Institute’s (NCI’s) Cancer Imaging Program and the Clinical Proteomic Tumor Analysis Consortium (CPTAC), NCI’s The Cancer Imaging Archive (TCIA) releases a newly improved CPTAC histopathology interface. The interface hosts histopathology...
Built on a continuous partnership between National Cancer Institute’s (NCI’s) Cancer Imaging Program and the Clinical Proteomic Tumor Analysis Consortium (CPTAC), NCI’s The Cancer Imaging Archive (TCIA) releases a newly improved CPTAC histopathology interface. The interface hosts histopathology...