Scientists from the Clinical Proteomics Tumor Analysis Consortium (CPTAC) program developed a powerful tool to explore associations between multiple types of omics datasets. The LinkedOmics software collects genomic, transcriptomic and proteomic datasets from The Cancer Genome Atlas (TCGA) and CPTAC programs across 32 cancer types. Using the program, researchers have the ability to analyze the transcriptome and proteome effects of genetic mutations, make biological pathway associations and compare different tumor types.
Join Dr. Eric Jaehnig, Research Associate at Baylor College of Medicine from the lab of Dr. Bing Zhang, as he speaks on our next OCCPR Webinar about LinkedOmics. Dr. Jaehnig will demonstrate how to use the software, walk you through its new features and how to share your data. Join us on May 18th at 1pm: Registration is required.
This webinar is brought to you by the Office of Cancer Clinical Proteomics Research (OCCPR). OCCPR aims to improve prevention, early detection, diagnosis, and treatment of cancer by enhancing the understanding of the molecular mechanisms of cancer, advancing proteome/proteogenome science and technology development through community resources (data and reagents), and accelerating the translation of molecular findings into the clinic.