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URL: http://bioinformatics.aecom.yu.edu/index.htm
Proper Citation: Einstein-Montefiore ICTR Research Informatics Core (RRID:SCR_003451)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Primary informatics resource for joint research efforts of the Albert Einstein College of Medicine and Montefiore Medical Center to facilitate the study and understanding of biological processes, clinical disorders, pathologic abnormalities, and the relationships among them, using a wide variety of informatics techniques, applications, and user training. Their services include: * Collaboration on research design to enable effective data management throughout all phases of a project * Provision of management capability for large volumes of data generated by microarrays and related technologies * Provision and supports a software toolchest for data capture, retrieval, and analysis * Design and implementation of custom interfaces to incorporate existing or separately designed databases into the central data management architecture * Support for data management for the Biorepository, to enhance specimen storage, identification, and linkage with clinical data * Ensuring conformity of data elements and structures to national standards via participation in standards organizations, facilitating intramural and extramural collaboration * Providing individualized support to end-users with bioinformatics training needs * Serving as a bioinformatics liaison to other research institutes and organizations * Providing data management support for clinical research * Providing a common, secure repository for clinical, experimental, and biosample storage data
Abbreviations: Einstein-Montefiore ICTR RIC
Synonyms: Einstein-Montefiore Institute for Clinical & Translational Research - Research Informatics Core, Research Informatics Core - Einstein-Montefiore Institute for Clinical and Translational Research (ICTR), Einstein-Montefiore Institute for Clinical and Translational Research - Research Informatics Core
Resource Type: community building portal, portal, database, service resource, storage service resource, data repository, data or information resource
Keywords: abnormality, application, biological, biorepository, clinical, compute, disorder, informatics, medicine, organization, pathologic, research, specimen, technique, technology, collaboration, data management, data sharing, infrastructure, workbench, biostatistics, data repository, bioinformatics, environment, microarray, gene, clinical research
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
