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Core services include consultation, technical support and training and mentoring in clinical and translational research methods that are specifically applicable to diabetes, its complications and related metabolic disorders. Personel provides expertise in first-in-human and mechanistic studies in integrative physiology, in clinical trials of diabetes and obesity, and in application of new technologies.
An independent nonprofit cancer research organization that provides full-service clinical trial management and support, from conception and study design through project completion and publication. Established to explore and develop leading edge cancer treatments across the United States and internationally, their clinical trials, developed in collaboration with academic and community oncologists, are conducted within a member network of more than 130 clinical research sites. Their vision and mission is to form unparalleled relationships between academic, community, pharmaceutical, and biotech partners with the goal of advancing cancer research, education, and patient advocacy. There are no costs to become a member.
Histological brain section series aligner to volumetric atlases. Software tool for user guided affine registration (anchoring) of 2D experimental image data, typically high resolution microscopic images, to 3D atlas reference space, facilitating data integration through standardized coordinate systems. Part of the QUINT workflow.
Cancer research organization dedicated to accelerating the conquest of cancer. The mission is to prevent and cure cancer through research, education, communication, collaboration, science policy and advocacy, and funding for cancer research. Through its programs and services, the AACR fosters research in cancer and related biomedical science, accelerates dissemination of new research findings, promotes science education and training, and advances the understanding of cancer etiology, prevention, diagnosis, and treatment throughout the world.
A Wiki-based database for transcription factor-binding data generated by the ENCODE consortium.
Krukowskikh, V., & Gradov, O. (2014). Praxeometric analysis of the selfish genetic machinery using W. Gasparski criteria for extended phenotypic expressivity. Life of Genomes - 2014. https://doi.org/10.13140/2.1.3298.9123
Core provides basic husbandry, training, supplies, and specialized service support for medical research at IU School of Medicine.
A biorepository is a place where investigators can deposit and store biological material, in this case samples derived from patients. Moreover, the Genomic Medicine Institute (GMI) takes this basic concept and elevates it to make the Genomic Medicine Biorepository (GMB) a full-service processing and banking laboratory that serves as the foundation for evidence-based research for the GMI, the Cleveland Clinic, and our collaborators. The process relies on a team of multi-disciplinary professionals coordinating their efforts in order to streamline medical research. This begins with dedicated physicians and genetic counselors identifying individuals with specific medical conditions indicating the possibility of genetic involvement. Once identified, biological material (e.g. blood, tissue, or saliva) is collected under the care of the patient''s doctor or by our clinicians and sent to the GMB. Once in the lab, the patient and their samples are assigned a unique identifier (to protect the patient''s personal information) and logged into a central database. This unique identifier accompanies all samples processed and banked for that individual. The specimens are then processed into research-relevant samples using proven laboratory techniques and state-of-the-art quality control practices. These samples include the isolation of DNA and RNA from white blood cells for genetic studies; collection of plasma for proteomic studies; and initiated immortalized cell lines from lymphocytes for in-vitro studies and biochemical research. These cell lines are able to be indefinitely stored in cryogenic suspension and are invaluable as a renewable resource for genetic and biochemical research. The GMB also processes genetic material from various tissues (both fresh and archived). Charis Eng, MD, PhD, Chair and Director of the GMI, has been the faculty oversight person of a human biorepository for the last eight years. Since then, our biorepository has received, cataloged, processed, and banked, in excess of 25,000 specimens. These samples are of numerous tissue types from patients and their family members located all over the world. Our biorepository has managed samples that have resulted in more than 150 original peer reviewed articles and greater than $25 million total direct costs in extramural funding over the last four years alone.
Software as a cross platform gene expression visualization tool. Extensible viewer for microarray data in the PCL or CDT format. Interactive display of clustered gene expression data. Java application for visualizing large data matrices. It can load a dataset, cluster it, browse it, customize its appearance and export it into a figure.
Software object oriented Python library to analyze trajectories from molecular dynamics simulations in many popular formats.
Web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with integrated view across all three types of resource. By registering your resource on FAIRsharing, you gain credit for your work, increase its visibility outside of your direct domain, reduce potential for unnecessary reinvention and proliferation of standards and databases.
Portal for Science Dynamics projects with open source framework to provide way to query datasets. Code framework, including tutorials for project, titled Over Optimization of Academic Publishing Metrics Observing Goodhart Law in Action, to interactively explore and understand how various properties of journals have changed over time. Datasets, software implementations, code tutorials and interactive web interface for investigating studied networks.
Core offers services from experimental design and sample preparation to instrumentation, data analysis, interpretation, and validation. Provides sequencing technologies and team of well trained staff.
American Donor Services (ADS) is an independent, non-profit organization specializing in tissue donation. Its mission is to improve lives through the gift of donation. ADS honors the spirit of donation by providing caring support to donor families, employing competent staff, and partnering with organizations that are dedicated to the innovative use of tissue for transplantation and research. We are registered with the Food and Drug Administration (FDA). ADS is also accredited with the American Association of Tissue Banks (AATB) and employs dedicated and experienced leadership and staff to sustain our program. The fundamental objective of ADS is to provide the opportunity of donation to individuals who have designated themselves as a donor and families who have the inclination and the potential to have their loved one become a tissue donor. ADS is dedicated to the cause of all donations and as such will support all other organizations in their parallel undertakings. We are committed to providing the best possible serivce to our Donor Families, Hospitals, Medical Donate Life Examiners, Coroners and Funeral Professionals.
Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.
Core provides multi-disciplinary team of specialists in human subject research data who support School of Medicine’s research community across the globe. Can create and supply datasets, reports, extracts, data marts and databases. Provides secure web applications for building and maintaining databases and surveys including 21 CFR part 11 compliance and research data biorepository database management.
Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts
Software application for performing Gene Ontology analysis on RNAseq data and other length biased data. Used to reduce complexity and highlight biological processes in genome wide expression studies.
Core provides access to analytical and imaging techniques for cellular and tissue imaging as well as molecular analysis of pathology specimens. Training is provided for investigators, fellows, and technical staff in proper use of techniques and instruments.
WikiPatient is the independent patient information & news source that anyone can edit. With 71,700 Textbook Chapters and News Articles in English, this wiki is all about Care, Community, and Co-Creation. Major sections include WikiPatient: Patient Resources, WikiPatient News: Today in Medicine, Diseases/Disease States and Care Centers. WikiPatient is available in other languages including Español, Français, Polski, Русский, Română, 中文, and Türkçe.