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http://www.cclg.org.uk/index.php

THIS RESORUCE IS NO LONGER IN SERVICE. Documented on April 27,2023. CCLG is an association of healthcare professionals involved in the treatment and care of children and younger teenagers with cancer, and underpins all the activity in pediatric oncology in the British Isles. CCLG is committed to research and development in the treatment of cancer in this age group, the ultimate goal of which is to maximize cure while minimizing the early and late side effects of treatment. Provision of information for patients and families is a core activity. The Children''s Cancer and Leukaemia Group was formed in 2006 as a result of the merger of the UK Children''s Cancer Study Group and the UK Childhood Leukaemia Working Party, both of which had been in existence since the 1970s.

Proper citation: CCLG (RRID:SCR_004137) Copy   

•   Source: SciCrunch Registry

http://www.alz.org/research/alzheimers_grants/biomarkers-across.asp

Consortium that launched a Request for Applications (RFA) to stimulate analyses across the Alzheimer's disease (AD) and Parkinson's disease (PD) research enterprises to engage in further data analysis of existing cohorts, including, but not limited to, biomarker discovery, standardization of assays, genetic profiles, and imaging modalities. The RFA aims to build on existing momentum to leverage similar activities and increase impact across the neurodegenerative disease spectrum. It also builds on recent evidence suggesting substantial overlap between AD, PD, and other neurodegenerative diseases pathologically, but also potentially biologically. The RFA is designed to enable preliminary pilot research or proof-of-principle studies utilizing data and/or samples from two large biomarker studies, the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Parkinson's Progression Markers Initiative (PPMI), in order to garner further research support from other funding agencies. Application Deadline: March 19, 2014. Efforts under BAND include studies that: * analyze datasets to test hypotheses related to aging and neurodegenerative disorders; * seek to identify panels or pathways that may play a role in disease mechanisms, such as around inflammation; * pursue shared or disparate biochemical markers of disease risk, onset or progression; * assess potential commonalities across the disease spectrum, including around other neurological disorders such as Lewy body dementia. Recent data reported at the 2013 Alzheimer's Association's International Conference stimulated discussion in the research community about the possible cross talk between AD and PD. For example, underlying pathologies / biomarkers, such as cerebrospinal fluid (CSF) alpha-synuclein, have been measured in the sample sets collected for both diseases to help understand similarities and differences in these diseases. Furthermore, similar imaging modalities, such as MRI and PET, are being employed to interrogate changes that occur with disease progression. As therapeutic approaches are developed that may be disease-modifying for several neurodegenerative diseases, stratification of clinical trial populations based on biomarker profiles may increase the probability of success in demonstrating a beneficial effect.

Proper citation: Biomarkers Across Neurodegenerative Diseases (RRID:SCR_004015) Copy   

•   Source: SciCrunch Registry

http://www.penta-id.org/

A Level 1 network for pediatric infectious disease in Europe recognized by the European networks of paediatric research at the European Medicines Agency (EnprEMA) whose activities vary from clinical trials, to cohort studies and training. It is currently developing a portfolio of clinical trials in antimicrobials in children, including antibiotics, antivirals and antifungals.

Proper citation: PENTA-ID (RRID:SCR_004092) Copy   

•   Source: SciCrunch Registry

https://zenodo.org/

Repository for all research outputs from across all fields of science in any file format as well as both positive and negative results. They assign all publicly available uploads a Digital Object Identifier (DOI) to make the upload easily and uniquely citeable. They further support harvesting of all content via the OAI-PMH protocol. They promote peer-reviewed openly accessible research, and curate uploads. ZENODO allows users to create their own collection and accept or reject all uploads to it. They allow for uploading under a multitude of different licenses and access levels.

Proper citation: ZENODO (RRID:SCR_004129) Copy   

•   Source: SciCrunch Registry

http://www.wardwiki.com/w/Main_Page

Wardwiki is a wiki designed to give free advice to foundation doctors (also know as interns) to help with practical issues as they arise on hospital wards. Despite the proliferation of medical websites and expensive courses there remains a large gap in provision of practical, experience based guidance to help foundation doctors survive the first two years on the wards. You may search for topics of interest but there are also sections including Popular Topics, Popular Categories, Top 25 articles, and Featured article. It is the responsibility of each foundation doctor to ensure their actions, referrals and prescriptions are accurate. These pages are written and maintained to the best ability of the contributing authors. We encourage any contributions be well founded, accurate, in good faith, without endorsement of medical products or opinions, and not to breach existing copyright. WardWiki cannot accept liability for adverse events that may arise directly or indirectly from advice given.

Proper citation: WardWiki (RRID:SCR_004323) Copy   

•   Source: SciCrunch Registry

http://www.smbs.buffalo.edu/pmy/

The Department of Pharmacology and Toxicology strives to maintain excellence in the areas of research, teaching and service to the School, University, and Community. The Department offers a program of didactic course work and research training leading to the degree of Doctor of Philosophy in Pharmacology, either through the Interdisciplinary Graduate Program in Biomedical Sciences (IGPBS) or through the Medical Scientist Training Program (MSTP). Pharmacology and Toxicology have similar basic principles and often utilize similar experimental methods and approaches to address a wide range of biomedical and health-related questions. Both are sciences that are basic not only to medicine, but also to pharmacy, nursing, dentistry, public health, and veterinary medicine. Additional programs are offered for the Bachelor of Science, or a combined Bachelor of Science / Master of Science in Pharmacology and Toxicology, and a Master of Arts in Pharmacology. The graduate programs are structured to provide the candidate with a broad training in basic areas of pharmacology as well as a degree of expertise in one research area including: Neuropharmacology, Psychopharmacology, Toxicology, Molecular and Cellular Pharmacology, Clinical Pharmacology

Proper citation: University at Buffalo SMBS Department of Pharmacology and Toxicology (RRID:SCR_004204) Copy   

•   Source: SciCrunch Registry

http://wikikidney.org/index.php/Main_Page

Wikikidney.org is an effort to prevent kidney diseases and achieve better outcomes in those who have end stage renal disease. Our mission is to use this medium to make the public more aware of kidney disease in a sincere effort to prevent it when we can, and to help our colleagues achieve good outcomes in those who already have end stage renal disease. Our role is to provide as much information as possible to patients, professionals and the general public, with the hopes that this education will be a motivating factor in making the necessary changes to prevent or stall chronic kidney disease. After nearly two decades of seeing patients with end stage renal disease, it is apparent that much of what we deal with can be delayed or prevented altogether. Several medical trials and innovations in the last several years have confirmed these observations, and form the basis of this website. A major element in preventing renal illness is simply early detection, and for this one needs education. As the Internet expands and becomes more and more a tool of everyday life, we will have the ability to access and distribute information like no other generation before us. Qualified readers are encouraged to contribute to existing articles and to create articles of their own. Contents * 1 Kidney Resources - NIC * 2 Especially for Patients * 3 General Kidney Resources * 4 Issues in Nephrology * 5 Clinical Wiki Projects * 6 Be an author, editor or reviewer on wikikidney * 7 Clinical Trials * 8 Newsdesk Top Stories * 9 Essential Physician Resources * 10 Organizations * 11 Government Agencies * 12 Vendor and other Sites * 13 Patents * 14 Index

Proper citation: Wikikidney.org (RRID:SCR_004288) 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.taverna.org.uk/

An open source and domain independent Workflow Management System ����?? a suite of tools used to design and execute scientific workflows and aid in silico experimentation. Taverna Workbench now has support for service sets, offline workflow editing, workflow validation, improved workflow run monitoring, and the pausing and canceling of workflow runs. The command line tool allows you to run workflows outside of the workbench and is available as a stand-alone download or bundled with the Taverna Workbench 2.2.0 download. The Taverna suite is written in Java and includes the Taverna Engine (used for enacting workflows) that powers both the Taverna Workbench (the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal. Taverna 2.2.0 includes * Copy/paste, shortcuts, undo/redo, drag and drop * Animated workflow diagram * Remembers added/removed services * Secure Web services support * Secure access to resources on the web * Up-to-date R support * Intermediate values during workflow runs * myExperiment integration * Excel and csv spreadsheet support * Command line tool

Proper citation: Taverna (RRID:SCR_004437) Copy   

•   Source: SciCrunch Registry

http://dkcoin.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented October 13, 2014. The resource has moved to the NIDDKInformation Network (dkNET) project. Contact them at info_at_dknet.org with any questions. Database of large pools of data relevant to the mission of NIDDKwith the goal of developing a community-based network for integration across disciplines to include the larger DKuniverse of diseases, investigators, and potential users. The focus is on greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets. To date (2013/06/10), a total of 1,195 resources have been associated with one or more genes. Of 11,580 total genes associated with resources, the ten most represented are associated with 359 distinct resources. The main method by which they currently interconnect resources between the providers is via EntrezGene identifiers. A total of 780 unique genes provide the connectivity between 3,159 resource pairs across consortia. To further increase interconnectivity, the groups have been further annotating their data with additional gene identifiers, publications, and ontology terms from selected Open Biological and Biomedical Ontologies (OBO).

Proper citation: dkCOIN (RRID:SCR_004438) Copy   

•   Source: SciCrunch Registry

http://www.uniprot.org/keywords/

UniProtKB entries are tagged with keywords that can be used to retrieve particular subsets of entries. There are 10 categories of keywords: Biological process Cellular component Coding sequence diversity Developmental stage Disease Domain Ligand Molecular function Post-translation modification Technical term You may browse by hierarchy, search in Keywords, or list all keywords. By default, searching the keywords will look for matches in both name and definition.

Proper citation: UniProtKB Keywords (RRID:SCR_004313) 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://en.wikibooks.org/wiki/Diagnostic_Radiology

This is a wiki on diagnostic radiology. Major topics include General Types of Radiology, Imaging Modalities, Radiography, CT scanning, Sonography, MRI Magnetic Resonance Imaging, Nuclear medicine, Normal Radiological Anatomy, Imaging of Specific Anatomic Regions, Diagnosis of Specific Anatomic Regions, Imaging in Pediatric Radiology, and External resources. Radiology is the branch of medical science dealing with medical imaging. It may use x-ray machines or other such radiation devices. It also uses techniques that do not involve radiation, such as MRI and ultrasound. The medical information provided on Wikibooks is, at best, of a general nature and cannot substitute for the advice of a medical professional (for instance, a qualified doctor/physician, nurse, pharmacist/chemist, and so on). Wikibooks is not a doctor.

Proper citation: Diagnostic Radiology (RRID:SCR_004427) Copy   

•   Source: SciCrunch Registry

http://taylorlab.ucsf.edu/software_data.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documentedt on January 10, 2023. Software that implements babel routines for identifying unusual ribosome protected fragment counts given mRNA counts, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Babel (RRID:SCR_004307) Copy   

•   Source: SciCrunch Registry

http://www.braintumourbank.ca/pages/about.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. The mission of the Canadian Virtual Brain Tumour Bank (CVBTB) is to facilitate clinical, molecular and translational research through the provision of well-characterized tissue linked to clinical data and to become a standardized national tissue resource whereby scientific needs are met, addressed and accelerated through a common public accessible core the CVBTB. Recognizing the need to encourage systemic banking of brain tumor tissues throughout the country and to link banks of brain tumor tissue samples with academic and scientific institutions that require these samples, the CVBTB was established. Under the sponsorship of Schering Plough Canada Inc. and in association with the Canadian Brain Tumour Consortium (CBTC), the CVBTB looks to act as a resource for all researchers to provide them with information on the types of brain tumor tissue samples available and to direct them to the tumor tissue banking sites holding these samples. The CVBTB also looks to provide information on standard operating procedures regarding aspects of tumor tissue banking such as tissue accrual, storage and shipment and the processing of blood samples such as serum and lymphocytes. The CVBTB currently consists of four brain tumour tissue banking sites (Toronto Western Hospital - Toronto, Ontario; London Health Sciences Centre - London, Ontario; McGill University - Montreal, Quebec; University of Calgary - Calgary, Alberta) and is continuously looking for more institutions to be a part of the CVBTB. If your institution would like to become a part of the CVBTB, please contact the CVBTB coordinator.

Proper citation: Canadian Virtual Brain Tumour Bank (RRID:SCR_004221) Copy   

•   Source: SciCrunch Registry

http://SchistoDB.net

SchistoDB is a genomic database for the parasitic organism Schistosoma mansoni, one of the major causative agents of schistosomiasis worldwide. It currently incorporates sequences and annotation for S. mansoni in a single user-friendly database. Several genomic scale analyses are available as well as ESTs, oligonucleotides, metabolic pathways and drugs. Make your data available: If you''d like to have your updates and/or datasets integrated in SchistoDB, drop us an email.

Proper citation: Schistosoma mansoni Database (RRID:SCR_004341) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/rna-star/

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

Proper citation: STAR (RRID:SCR_004463) Copy   

•   Source: SciCrunch Registry