The Center for Informatics supports diverse and computationally intensive needs in data retrieval, curation, integration, annotation, automation, dissemination, visualization, and training. Our goal is to foster research collaborations from broad ranges of well-trained data scientists to promote translational research in biomarker discovery and novel targeted therapy development with multidisciplinary principal investigators, diverse disease teams, clinicians, postdocs, students, vendors, and core facilities. Our team establishes shared high-performance parallel computational resource and modern cyber-infrastructure with ITS by integrating pipelines and developing methodologies for user consultation and training.
Research informatics includes research into the development of novel techniques and common data model for the integration of biological and clinical data, and the evolution of clinical informatics methodology to encompass biological observations using in-house-built HopeSeq and POSEIDON. We will provide an overview of our newly established integrative efforts using vendor-based platforms and open-source systems to disseminate a variety of resources by integrating HPRCC with memory-intensive compute capability and petabyte storage.
High performance scientific applications will support precision medicine teams using resources ranging from Qiagen analytics (CLC Bio, IPA, QCII-T, OmicSoft), Partek, Schrödinger, DNAnexus, Rosalind, Oncomine, MacVector, Matlab, and Mathematica as well as support and host L.A. regional training using community-focused public databases, such as NCBI, EBI, UCSC, and WashU.