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http://www.echelon-inc.com/

An Antibody supplier

Proper citation: Echelon Biosciences (RRID:SCR_004169) Copy   

•   Source: SciCrunch Registry
  

http://brainarchitecture.org/

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

Proper citation: Brain Architecture Project (RRID:SCR_004283) Copy   

•   Source: SciCrunch Registry
  

http://www.obofoundry.org/ro/

The OBO Relation Ontology is an ontology of core relations for use by OBO Foundry ontologies. To enhance the treatment of relations in biomedical ontologies we advance a methodology for providing consistent and unambiguous formal definitions of the relational expressions used in such ontologies in a way designed to assist developers and users in avoiding errors in coding and annotation. The resulting Relation Ontology can promote interoperability of ontologies and support new types of automated reasoning about the spatial and temporal dimensions of biological and medical phenomena. The OBO Relation ontology is undergoing substantial changes: * Core domain-independent relations will live in BFO * Biology specific relations (defined in terms of core relations) will live in RO

Proper citation: OBO Relation Ontology (RRID:SCR_004285) Copy   

•   Source: SciCrunch Registry
  

http://www.upenn.edu/

University of Pennsylvania is private Ivy League research university located in University City neighborhood of Philadelphia, Pennsylvania. Established in 1740, UPenn has 4 undergraduate schools and 12 graduate schools.

Proper citation: University of Pennsylvania; Philadelphia; USA (RRID:SCR_004275) Copy   

•   Source: SciCrunch Registry
  

http://www.mpiresearch.com/

MPI Research exists to provide comprehensive discovery, safety evaluation, bioanalytical, and analytical services that meet the requirements of biopharmaceutical, medical device, animal health, and chemical companies as we partner globally to bring safer and more effective products to the world. Our goal is to exceed the expectations of our Sponsors and maintain the highest respect in our industry by providing customized, responsive, and on-time services that add value to our Sponsors'' efforts to discover, develop, and enhance products in regulated international environments. We excel as a high performance, high quality organization because of our scientific knowledge and experience, integrity, trust, teamwork, and dedication to strong and enduring Sponsor relationships. MPI Research has conducted thousands of drug safety, discovery, bioanalytical, and analytical studies. We offer extensive support and resources including, but not limited to * A wide and diverse range of classes of compounds * All routes of administration except inhalation * Studies with numerous species and models * Comprehensive reporting capabilities Flexibility and ample capacity enable us to * Accommodate multiple requirements simultaneously * Adjust schedules readily * Produce results quickly Responding to a broad spectrum of research needs: Working in partnership with pharmaceutical, biotech, medical device, and chemical companies, we conduct customized preclinical research throughout the discovery and development process, from early proof of concept testing to regulatory submissions, including IND, EPA/OPPTS, NDA, PMA, and 510K.

Proper citation: MPI Research (RRID:SCR_004397) Copy   

•   Source: SciCrunch Registry
  

http://magnet.c2b2.columbia.edu/

The mission of the Center for the Multiscale Analysis of Genomic and Cellular Networks (MAGNet) is to develop novel Structural and Systems Biology methods and tools for the dissection of molecular interactions in the cell and for the interaction-based elucidation of cellular phenotypes. These tools are made freely available to the the members of the research community. They are also validated in the context of the Center''''s own research program through collaborative projects with experimental biologists. MAGNet is one of 7 National Centers for Biomedical Computing (NCBC). These Centers, in conjunction with individual investigator awards, are creating a networked effort to build the computational infrastructure for biomedical computing in the nation. The NCBC program is devoted to all facets of biomedical computing, from basic research in computational science to providing the tools and resources that biomedical and behavioral researchers need to do their work. In addition to carrying out fundamental research the NCBCs play a major role in educating and training researchers to engage in biomedical computing. MAGNet is also one of 12 inter-disciplinary Centers for Cancer Systems Biology (CCSBs), a component of the National Cancer Institute''''s Integrative Cancer Biology Program. The CCSBs provide a core framework for applying systems biology approaches to cancer research through the development and implementation of computational models of processes relevant to cancer prevention, diagnostics and therapeutics. The CCSBs seek to integrate experimental biology with mathematical modeling to foster new insights in the biology and new approaches to the management of cancer. MAGNet''''s Training Core ensures that the methods developed by the Center are integrated into the educational offerings of Columbia University''''s Medical School.

Proper citation: MAGNet - Multiscale Analysis of Genomic and Cellular Networks (RRID:SCR_004399) Copy   

•   Source: SciCrunch Registry
  

http://okcam.cbi.pku.edu.cn/ontology.php

CAMO (Cell Adhesion Molecule Ontology) is a set of standard vocabulary that provide a hierarchical description of cell adhesion molecules and their functions. We compiled a list for cell adhesion molecules by integrating Gene Ontology annotations, domain structure information, and keywords query against NCBI Entrez Gene annotations. Totally 496 unique human genes were identified to function as cell adhesion molecules, which is by far the most comprehensive dataset including cadherin, immunoglobulin/FNIII, integrin, neurexin, neuroligan, and catenin families. CAMO was constructed as a directed acyclic graph (DAG) using DAG-Edit to input, manage and update data. We annotated each term with name, definition and source references, as well as the relationship to other terms, based on manual reviews of domain architecture and functional annotations. If vertices represent terms and the relationships between terms are represented by edges, the terms in a DAG can be connected via a directed graph without cycles. CAMO thus provides a hierarchical description of functions of CAMs with five top-level categories: CAM gene families, CAM genetics, CAM regulation, CAM expression and CAM diseases. Each top-level term is further divided into several categories to describe the functions in detail.

Proper citation: CAMO - Cell Adhesion Molecule Ontology (RRID:SCR_004392) Copy   

•   Source: SciCrunch Registry
  

http://www.uca.edu.ar/index.php/home/index/en/universidad/facultades/buenos-aires/cs-medicas/investigacion/iib/

The Biomedical Research Program (PIB) of the School of Medical Sciences was created in 2007, after a Collaboration Protocol was established between UCA and the National Council of Scientific and Technical Research (CONICET). Research at PIB aims at unraveling the molecular, biochemical and genetic aspects of human diseases, therefore contributing to understanding complex pathologies. Research Groups include: * Molecular and Cell Biology Lab (LBCM) - Group leader: Tom��s A. Santa Coloma, Ph.D. * Nanotechnology Lab - Group leader: Tom��s A. Santa Coloma, Ph.D. * Molecular Neurobiology Lab - Group leader: Francisco J. Barrantes, Ph.D.

Proper citation: Biomedical Research Program UCA (RRID:SCR_004395) Copy   

•   Source: SciCrunch Registry
  

http://www.cancer.gov/aboutnci/office-of-director

Proper citation: Office of the NCI Director (RRID:SCR_004391) Copy   

•   Source: SciCrunch Registry
  

http://www.egappreviews.org/

Initiative to develop a systematic, evidence-based process for evaluating genetic tests and other applications of genomic technology that are rapidly moving from research to use in clinical practice. A key objective of this process is to provide objective, timely, and credible information that is clearly linked to the scientific evidence on specific applications of genetic and genomic tests. The primary focus of EGAPP activities is an independent, nonfederal expert panel, the EGAPP Working Group. Other components of the EGAPP initiative include a federal interagency, the CDC staff and consultants, and an EGAPP initiative evaluation team.

Proper citation: EGAPP (RRID:SCR_004189) Copy   

•   Source: SciCrunch Registry
  

http://kingdevicktest.com/

An accurate and reliable method for identifying athletes with head trauma, and a strong candidate rapid sideline screening test for concussion. The test is able to capture impairments of eye movement, attention, language and other symptoms of impaired brain function. It is a physical method of evaluating visual tracking and saccadic eye movements is based on the time to perform rapid number naming. It involves reading aloud a series of single digit numbers from left to right on three test cards. Participants are asked to read the numbers on each card from left to right as quickly as possible but without making any errors. The sum of the three test card time scores constitutes the summary score for the entire test. The test is a proven indicator of oculomotor inefficiencies regarding eye movements during reading. Published medical studies have determined that deficiencies in saccadic eye movements can be an indicator of mild Traumatic Brain Injury (mTBI) or concussions. Studies have shown that there is a significant relationship between poor oculomotor functions and learning disabilities (including dyslexia detection). Saccadic eye movement deficiencies can be improved with training and correspondingly reading performance also can be improved. Simply put, subjects who don''t perform well on this test are not efficient readers, although because there are many reasons for poor reading unrelated to eye movements, some poor readers do fine on the test. They believe that the test should be in the hands of teachers in order to help them determine if a student''s poor reading performance is related to deficiencies in their ability to move their eyes efficiently.

Proper citation: King-Devick Test (RRID:SCR_004500) Copy   

•   Source: SciCrunch Registry
  

http://www.cellsciences.com/

An Antibody supplier

Proper citation: Cell Sciences (RRID:SCR_004502) Copy   

•   Source: SciCrunch Registry
  

http://images.wellcome.ac.uk/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.Digital collection of images, with themes ranging from medical and social history to contemporary healthcare and biomedical science. The collection contains historical images from the Wellcome Library collections, Tibetan Buddhist paintings, ancient Sanskrit manuscripts written on palm leaves, beautifully illuminated Persian books and much more. The Biomedical Collection holds over 40 000 high-quality images from the clinical and biomedical sciences. Selected from the UK''s leading teaching hospitals and research institutions, it covers disease, surgery, general healthcare, sciences from genetics to neuroscience including the full range of imaging techniques. They are always looking for new high quality biomedical images from scientific researchers, clinical photographers and artists in any field of science or medicine. As a contributor you retain your original material and copyright, and receive commission and full credit each time your images are used. The annual Wellcome Images awards (previously known as Biomedical Images Awards) reward contributors for their outstanding work and winners are chosen by a panel of experts. The resulting public exhibitions are always extremely popular and receive widespread acclaim. All images on the Wellcome Images site are available free for use in: * private study and non-commercial research * examination papers * criticism and review, this applies only where there are no multiple copies made * theses submitted by a student at a higher or further education institution for the purposes of securing a degree * personal use by private individuals

Proper citation: Wellcome Images (RRID:SCR_004181) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/hlaseq/

An open-source software tool for accurate genotyping the human HLA genes from Illumina GA high-throughput sequencing data.

Proper citation: HLASeq (RRID:SCR_004185) Copy   

•   Source: SciCrunch Registry
  

http://pass.cribi.unipd.it/cgi-bin/pass.pl

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A bisulfite aligner suitable for whole methylome analysis of Illumina and SOLiD reads.

Proper citation: PASS-bis (RRID:SCR_004176) Copy   

•   Source: SciCrunch Registry
  

http://neuroandpsych.slu.edu/

The Department of Neurology & Psychiatry aims to 1) provide the best psychiatric and neurological care to patients and their families, 2) discover and investigate new treatments for psychiatric and nervous system disorders, 3) study psychosocial processes in psychiatric and neurological illness, and 4) educate the next generation of practitioners, as well as our patients and the lay community. The Department of Neurology & Psychiatry (DNP) was established on June 1, 2007. The Department has 34 faculty members and is planning continued expansion. There are 7 psychiatrists, 18 neurologists, 4 child neurologists, and 5 NIH-supported PhD investigators. The DNP is one of five departments in the country that combines the disciplines of neurology and psychiatry. We are unique in having two strong residency programs and are the only that attempts to establish a new paradigm in care of patients with neurological and psychiatric disease through co-management initiatives. * Division of Psychiatry: The Psychiatrists work within four areas: Adult, Geriatric, Community, and Forensic Psychiatry. * Division of Neurology: The division has an extremely active stroke/intensive care and general neurology service. We are expanding services in neurocritical care and interventional neurology. * Education: The DNP has approximately 25 residents/fellows in each discipline. * Research: The DNP has robust programs in clinical, basic, and translational research. We emphasize 3 areas in this overview of the DNP. ** Clinical Research Unit ** Psychosocial Processes Group ** Translational Neuromuscular Disease VISION STATEMENT All members of the Saint Louis University Department of Neurology & Psychiatry will collaborate to support state-of-the-art neurological and psychiatric education, compassionate patient care, and a growing research enterprise. The Department will develop the most exciting intellectual environment in the Nation for investigation, treatment, and training in psychiatry and neurology. We will fulfill this Vision in an environment of mutual respect and collaboration.

Proper citation: St. Louis University Department of Neurology and Psychiatry (RRID:SCR_004297) Copy   

•   Source: SciCrunch Registry
  

http://bioinfo.au.tsinghua.edu.cn/software/TAGS/

Software tool for gene set enrichment analysis for expression time series, which can incorporate existing knowledge and analyze the dynamic property of a group of genes that have functional or structural associations. The installation file is for Windows., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TAGS (RRID:SCR_004294) Copy   

•   Source: SciCrunch Registry
  

https://www.cosmobio.com/

An Antibody supplier

Proper citation: Cosmo Bio Co (RRID:SCR_004296) Copy   

•   Source: SciCrunch Registry
  

http://www.doaj.org/

Database providing access to quality controlled Open Access Journals. For a journal to be included it should exercise quality control on submitted papers through an editor, editorial board and/or a peer-review system. It is not be limited to particular languages or subject areas. Offering free online access to high quality full text content, plus excellent search tools, the portal enables researchers to find, use and re-use a vast range of materials with ease. The content of DOAJ will be even more visible and disseminated through this portal. The aim of the Directory is to increase the visibility and ease of use of open access scientific and scholarly journals thereby promoting their increased usage and impact. As of April 2014, DOAJ has 9,709 journals, 5,624 journals searchable at article level, 133 Countries and 1,600,991 articles. The database may be browsed by title or subject, or searched through the interface to for journals or articles.

Proper citation: DOAJ - Directory of Open Access Journals (RRID:SCR_004521) Copy   

•   Source: SciCrunch Registry
  

http://neuro.debian.net/

Collection based on a collaborative effort of popular neuroscience research software for the Debian operating system as well as Ubuntu and other derivatives. Popular packages include AFNI, FSL, PyMVPA and many others. It contains both unofficial or prospective packages which are not (yet) available from the main Debian archive, as well as backported or simply rebuilt packages also available elsewhere. A listing of current and planned projects is available if you want to get involved. The main goal of the project is to provide a versatile and convenient environment for neuroscientific research that is based on open-source software. To this end, the project offers a package repository that complements the main Debian (and Ubuntu) archive. NeuroDebian is not yet another Linux distribution, but rather an effort inside the Debian project itself. Software packages are fully integrated into the Debian system and from there will eventually migrate into Ubuntu as well. With NeuroDebian, installing and updating neuroscience software is no different from any other part of the operating system. Maintaining a research software environment becomes as easy as installing an editor. There is also virtual machine to test NeuroDebian on Windows or Mac OS. If you want to see your software packaged for Debian, please drop them a note.

Proper citation: neurodebian (RRID:SCR_004401) Copy   

•   Source: SciCrunch Registry