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http://dayhoff.anu.edu.au/

It is part of the Institute for Advanced Studies at The Australian National University (ANU). CBiS forms a bridge between two areas of major strength at ANU, mathematics and biological sciences. CBiS brings together researchers with backgrounds in mathematics, statistics and quantitative biology with the goal of developing a conceptual architecture for an information-based, integrative approach to complex biological systems. Software available for download or use is: * Pozitiv * GE Bi-Plot * Chip Stability * PyEvolve * Vestige Most software is freely available under the GPL or similar licenses. For details, see each individual package., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CBiS (RRID:SCR_013408) Copy   

•   Source: SciCrunch Registry

https://stfc.ukri.org/

One of nine Councils within United Kingdom Research and Innovation, an organisation that brings together the UK’s Research Councils, Innovate UK and Research England. Works in partnership with universities, research organisations, businesses, charities, and government to create the environment for research and innovation.

Proper citation: Science and Technology Facilities Council (RRID:SCR_016713) Copy   

•   Source: SciCrunch Registry

http://www.studylog.com

Commerciall organization to develop study protocols collaboratively to run and manage animal research studies for academic, government, biotech and pharmaceutical labs. Provides services, including product installation and configuration, user training, customization services and ongoing support.

Proper citation: Studylog (RRID:SCR_016682) Copy   

•   Source: SciCrunch Registry

http://lincs.hms.harvard.edu/

Center that is part of the NIH Library of Integrated Network-based Cellular Signatures (LINCS) Program. Its goals are to collect and disseminate data and analytical tools needed to understand how human cells respond to perturbation by drugs, the environment, and mutation.

Proper citation: HMS LINCS Center (RRID:SCR_016370) Copy   

•   Source: SciCrunch Registry

https://www.nsrusa.org

Organization that provides instructions for and research on the Natural Stress Relief (NSR) meditation method.

Proper citation: Natural Stress Relief (RRID:SCR_015898) Copy   

•   Source: SciCrunch Registry

http://www.twins.org.au/

Portal for Twins Research Australia. Brings twins and researchers together for vital health research in twins.

Proper citation: Twins Research Australia (RRID:SCR_017485) Copy   

•   Source: SciCrunch Registry

https://www.southernbiotech.com/

Commercial antibody company that focuses on the development, production, purification, conjugation, and commercialization of antibodies.

Proper citation: SouthernBiotech (RRID:SCR_019250) Copy   

•   Source: SciCrunch Registry

https://www.leinco.com/

A manufacturer of early discovery research products including antibodies, recombinant proteins, ELISA kits, second step reagents and other life sciences products.

Proper citation: Leinco Technologies (RRID:SCR_019252) Copy   

•   Source: SciCrunch Registry

http://www.juntadeandalucia.es/fundacionprogresoysalud/es/home

An organization that supports the public health system in Andalusia, Spain through three main activities: research and innovation in health, technologies line information and communication, and training and evaluation of professional skills. It also provides management support to the Health Quality Agency of Andalusia, which is the driving entity of the Andalusian Quality Model. Resource is in Spanish.

Proper citation: Progress and Health Foundation; Seville; Spain (RRID:SCR_000276) Copy   

•   Source: SciCrunch Registry

http://faculty.washington.edu/anath/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. University of Washington - affiliated research lab focused on understanding the roles of protein dynamics in health and human disease. They focus on developing methods to characterize and control protein dynamics through utilizing methods like single-molecule fluorescence, computational modeling, and protein engineering. There is an emphasis on proteins involved in degenerative disorders such as Alzheimer's disease, stress responses and drug metabolism.

Proper citation: University of Washington Nath Research Group (RRID:SCR_000180) Copy   

•   Source: SciCrunch Registry

http://nacet.org/az-core-labs/

A core facility which provides fee-based sample imaging and analysis using analytical and microscopy equipment to technology incubator clients, university researchers, and industry.

Proper citation: AZ Core Labs (RRID:SCR_001036) Copy   

•   Source: SciCrunch Registry

http://www.biocurrents.org/

The BioCurrents Research Center (BRC) is an integrated technology resource of the NIH:NCRR. The activities of the Center focus on molecular physiology as it relates to the cell function and disease. Our particular interest is how the dynamics of cell responses are reflected in the chemical profiles of microdomains surrounding single living cells. In order to measure complex cellular boundary layers, the BRC has specialized in the development of extremely sensitive signal acquisition and processing methods along with miniaturized electrochemical sensor designs. The technique is non-invasive and termed self-referencing. Since its establishment in 1996, the BRC has directed its technological research and development to the design and application of ultra-microelectrodes (tip diameters of less than 10m) tailored for the detection of specific chemicals. These have been successfully applied to the boundary layer profiles of many different cell types, with thematic strength in diabetes research, reproductive health and development (see collaborative profiles). More recently, it is changing its focus to technical developments, enhancing the integrative approach to cell function. To understand a cell as a dynamic and integrated whole, BRC must be able to examine responses from different domains as near to real time and as synchronously as possible. To this end, it is developing imaging capabilities to work in parallel with electrochemistry and conventional electrophysiological techniques. Imaging includes a spinning disc confocal, as well as a low light/luminescent imager designed and built within the BRC. The technologies developed or under development are in high demand within the biomedical community. Over 40 investigators work with the Center each year in a collaborative or service capacity. Over 80 of our visitor pool is NIH funded, representing approximately 25 NIH divisions and institutes. As part of our training and dissemination program we host occasional workshops at major national and international meetings, train a significant number of new investigators each year and host graduate students undertaking portions of their thesis dissertation using our technologies. In dissemination we advise on, and install, electrochemical systems in off campus research endeavors, both academic and industrial.

Proper citation: BioCurrents Research Center (RRID:SCR_002020) Copy   

•   Source: SciCrunch Registry

http://www.adinstruments.com/products/software/modules/neuro_explorer.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 19, 2018; A provider of computer-based data acquisition and analysis systems for life science. Products enable users to record and analyze life science data quickly and efficiently. ADInstruments product range is based on the PowerLab data acquisition system with LabChart software. The PowerLab system (also MacLab) is used in universities, hospitals, research institutes, pharmaceutical companies, contract research organizations and other private industry research sectors.

Proper citation: ADInstruments - Data Acquisition Systems for Life Science (RRID:SCR_001620) Copy   

•   Source: SciCrunch Registry

http://www.immundiagnostik.com

Commercial company that develops and provides laboratory diagnostics and other medical research products.

Proper citation: Immundiagnostik (RRID:SCR_001977) Copy   

•   Source: SciCrunch Registry

http://www.jsps.go.jp/english/

Research and outreach organization dedicated to promoting science, research and education. The society has four main objectives, including building international cooperative networks, enhancing education and research at universities, building evidence-based science-promotion systems and creating diverse world level knowledge.

Proper citation: Japan Society for the Promotion of Science (RRID:SCR_001085) Copy   

•   Source: SciCrunch Registry

http://www.nationalacademies.org/nrc/

Private, non-profit institution dedicated to utilizing knowledge in science, engineering, technology and health to improve government decision making and public policy as well as increase public education and understanding. The council collects, analyzes and shares information and knowledge through activities such as consensus studies, meetings and workshops, and program and research management.

Proper citation: National Research Council (RRID:SCR_000446) 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