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https://www.k-inbre.org/pages/k-inbre_about_bio-core.html

The K-INBRE Bioinformatics Core collaborates with Kansas researchers to perform research on cell and developmental biology. Core aims to serve the needs of investigators engaged in computationally intensive biomedical research, and to promote education in bioinformatics to students and researchers across the state of Kansas.

Proper citation: Kansas State University - INBRE Bioinformatics Core Facility (RRID:SCR_012596) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th,2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Image Analysis Core (RRID:SCR_015909) Copy   

•   Source: SciCrunch Registry

https://ww2.mc.vanderbilt.edu/DDRC/41013

Core facility for the Vanderbilt Digestive Disease Research Center.

Proper citation: Vanderbilt Digestive Disease Research Center Biostatistics Administrative Core (RRID:SCR_015901) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th,2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Gene Expression Analysis Core (RRID:SCR_015906) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th, 2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Cell Culture Core (RRID:SCR_015904) Copy   

•   Source: SciCrunch Registry

http://www.npielectronic.de/home.html

Commercial organization that builds and supplies research-related equipment such as amplifiers.

Proper citation: NPI electronic (RRID:SCR_016002) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th, 2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Cell Culture Core (RRID:SCR_015919) Copy   

•   Source: SciCrunch Registry

http://cunorc.org/cores/clinical-core/

Core facility for the University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center. Core provides NORC members assistance with clinical research studies involving modification of body weight.

Proper citation: University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center Clinical Intervention and Translation Core Facility (RRID:SCR_015912) Copy   

•   Source: SciCrunch Registry

http://cunorc.org/enrichment/

Core facility for the University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center. Promotes research in obesity and nutrition on campus by coalescing team science ventures, fostering development of trainees that are well positioned for interdisciplinary collaboration, and leveraging resources from existing institutional programs to spawn interdisciplinary team science and translational outreach programs related to nutrition and obesity.

Proper citation: University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center Enrichment Program Core Facility (RRID:SCR_015913) Copy   

•   Source: SciCrunch Registry

https://www.vumc.org/digestive-disease-research-center/biostatistics-component

Core facility for the Vanderbilt Digestive Disease Research Center. Provides professional expertise in biostatistics for all DDRC projects, investigators, and participants. Functions provided by this component include development of experimental designs, power analysis, and sample size computation; data acquisition and database development; statistical analysis and interpretation of findings; collaboration on presentation of results; education in biostatistical methods; and development of tools with application to clinical trials and laboratory research.

Proper citation: Vanderbilt Digestive Disease Research Center Biostatistics Component Core (RRID:SCR_015915) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th,2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Gene Expression Analysis Core (RRID:SCR_015920) Copy   

•   Source: SciCrunch Registry

https://www.einstein.yu.edu/centers/liver-research/research-cores/

Core facility for the Marion Bessin Liver Research Center.

Proper citation: Marion Bessin Liver Research Center Administrative and Supporting Services (RRID:SCR_015929) Copy   

•   Source: SciCrunch Registry

https://abcdstudy.org

Long-term study of brain development and child health in the United States. The study tracks subjects' biological and behavioral development through adolescence into young adulthood to determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes.

Proper citation: ABCD Study (RRID:SCR_015769) Copy   

•   Source: SciCrunch Registry

https://www.ie-freiburg.mpg.de/

Interdisciplinary research institute that conducts basic research in modern immunobiology, developmental biology and epigenetics.

Proper citation: Max Planck Institiute of Immunobiology and Epigenetics; Freiburg; Germany (RRID:SCR_017170) Copy   

•   Source: SciCrunch Registry

http://escience.invitrogen.com/ipath/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. LINNEA Pathways is a user-friendly comprehensive online resource for gene- or protein-based scientific research. It is based on a total of 248 signaling and metabolic human biological pathway maps created for Invitrogen by GeneGo. The current version of iPath features 225 maps displaying human regulatory and metabolic pathways established in experimental literature produced by MetaCore from GeneGo, Inc. The map objects (proteins, genes, EC functions, and compounds) are connected via metabolic transformations and physical protein interactions, which were assembled by the GeneGo team of experienced annotators, geneticists, and biochemists. The pathways are organized in a vertical fashion following the general signaling path from signaling molecules and membrane receptors, via signal transduction cascades, to transcription factors and their gene targets. Following the natural organization of cellular machinery with highly interconnected pathways and modules, many maps are linked together via hyperlinked box symbols. Such linkage allows the reconstruction of a big picture view of human cell biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Invitrogen iPath (RRID:SCR_008120) Copy   

•   Source: SciCrunch Registry

http://www.ingenuity.com/

A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base .

Proper citation: Ingenuity Pathways Knowledge Base (RRID:SCR_008117) Copy   

•   Source: SciCrunch Registry

http://databases.unesco.org/bioethics/biowebintro.shtml

Bioethics database comprises over 645 bioethics institutions (bioethics committees, commissions, training, research and documentation centres) in over 80 countries, including information on activities and publications. Information is based on replies obtained from a widely distributed questionnaire and has been gathered in cooperation with National Commissions and Permanent Delegations to UNESCO. The Program develops four main action areas: -Intellectual forum -Standard-setting action -Advisory role and capacity-building -Education and awareness raising The Bioethics Program is part of UNESCOs Division of the Ethics of Science and Technology in the Social and Human Sciences Sector. It is primarily responsible for the Secretariat of two advisory bodies: the International Bioethics Committee (IBC), composed of 36 independent experts, and the Intergovernmental Bioethics Committee (IGBC), composed of representatives of 36 Member States. These Committees cooperate to produce advice, recommendations and proposals that each submits to the Director-General for consideration by UNESCOs governing bodies.

Proper citation: Bioethics Institutes Database (RRID:SCR_008173) Copy   

•   Source: SciCrunch Registry

http://www.lamhdi.org/

THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease.

Proper citation: LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) Copy   

•   Source: SciCrunch Registry

http://www.BioMedSearch.com

BioMedSearch is a biomedical search engine that contains NIH/PubMed documents, plus a large collection of theses, dissertations, and other publications not found anywhere else for free, making it the most comprehensive free search on the web. :Besides free-form search, users can search based on Author, Journal Title, Publication Date, the Language in which the article was published (many non-English articles have English language abstracts), MeSH (Medical Subject Headings) and more. : The goal of BioMedSearch.com is to provide free access to a massive collection of authoritative documents relating to the biomedical field. Our mission is to make these important works available to the community in a way that is fast and easy, while still offering the advanced features demanded by power users such as portfolios, collaboration features, bibliographical citation export, alerts, and more. Whether you are doctor, scientist, or someone interested in researching a medical topic out of personal interest, BioMedSearch aggregates a vast number of authoritative documents in one place to make finding medical information easy, fast and free.

Proper citation: Biomedical Search: Medical Research and Health Resources (RRID:SCR_008683) Copy   

•   Source: SciCrunch Registry

https://med.stanford.edu/compmed/TrainingforPre-DVM-T35-and-DVMs-T32/summer.html

The program seeks to help veterinary students become biomedical researchers. A secondary goal is to provide research experience to veterinary students interested in careers in laboratory animal medicine and/or pathology. Previous participants were veterinary students at Colorado State University, Cornell University, Kansas State University, Michigan State University, North Carolina State University, Ohio State University, Purdue University, Tufts University, Tuskegee University, University of California, University of Illinois, University of Tennessee, Washington State University, and Western University. The Program consists of workshops on research-related topics, a veterinary student journal club, sessions on research career development for veterinarians, an individual research project, and a veterinary student research symposium. The research project is the most important part of the Program. The goals of the research project are to have students address a significant experimental question, work independently and with other researchers, and produce and publish results. Students are matched with a preceptor (see list of faculty below) according to research interests. The preceptor outlines a focused project for the student to perform in their laboratory. Students become completely involved in their assigned laboratory participating in laboratory meetings and social events, attending seminars with other members of their laboratory, and working on their research project at least 40 hours/week.

Proper citation: Summer Fellowships - Comparative Medicine (RRID:SCR_008306) Copy   

•   Source: SciCrunch Registry