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http://www.publicationethics.org/

The Committee on Publication Ethics (COPE) was established in 1997 by a small group of medical journal editors in the UK but now has over 7000 members worldwide from all academic fields. Membership is open to editors of academic journals and others interested in publication ethics. Several major publishers (including Elsevier, WileyBlackwell, Springer, Taylor & Francis, Palgrave Macmillan and Wolters Kluwer) have signed up their journals as COPE members. COPE provides advice to editors and publishers on all aspects of publication ethics and, in particular, how to handle cases of research and publication misconduct. It also provides a forum for its members to discuss individual cases (meeting four times a year in the UK and once a year in North America). COPE does not investigate individual cases but encourages editors to ensure that cases are investigated by the appropriate authorities (usually a research institution or employer). All COPE members are expected to follow the Code of Conduct for Journal Editors. COPE will investigate complaints that members have not followed the Code. COPE also funds research on publication ethics, publishes a quarterly newsletter and organises annual seminars in the UK and the USA. COPE has also created an audit tool for members to measure compliance with its Code of Conduct and Best Practice Guidelines for Journal Editors. What guidance is available on this website (for members and non-members)? * COPE Code of Conduct and Best Practice Guidelines for Journal Editors * Flowcharts on how to handle common ethical problems * Other COPE guidelines (eg on retractions) * Sample letters (to adapt for use) * Database of all cases discussed at COPE Forum (including podcasts of the discussion (where available), the advice given and the outcome of cases) Benefits of COPE membership COPE members can: * receive advice on individual cases via the Forum * access the eLearning package (due Q2 2011) * use the ethical audit tool to see how well their journals match COPE''s guidelines * use the COPE logo in their journal * apply for COPE research grants * stand for election to COPE Council

Proper citation: COPE - Committee on Publication Ethics (RRID:SCR_008835) Copy   

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http://www.medicalnewstoday.com/

Provides relevant and curated health news and articles specifically tailored to individual interests. Content is curated from sources such as JAMA, BMJ, BMA and more that are archived in an easy-to-search manner. The portal contains video content that is created in partnership with Healthology, a network of holistic care clinics, to bring informative videos to the public on a regular basis. The site also provides a platform to interact with fellow readers through forums, weekly newsletters and notifications when relevant content is added to categories of interest.

Proper citation: MNT - Medical News Today (RRID:SCR_008832) Copy   

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http://tvap.genome.wustl.edu/tools/music/

A set of tools aimed at determining the significance of somatic mutations discovered within a given cohort of cancer samples, incorporating the cohort''s alignment data, variant lists and any relevant clinical data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MuSiC (RRID:SCR_008792) Copy   

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https://www.musc.edu/website/research/brainbank/braindonor.html

A brain bank and biospecimen repository that provides research materials to clinicians, scientists and pathologists in South Carolina. The bank provides both control and diseased biospecimens and brain tissue needed for research in Alzheimer's disease, Parkinson's disease and other related neurological disorders. The Campbell Laboratory coordinates the brain tissue donation program, provides post-mortem confirmation of a patient having neurological disorders, and leads research trials. Any South Carolina resident can choose to sign up as a tissue donor and have their brain tissue donated post-mortem to be used for neurological disorder research. The tissue bank will process and analyze these tissue samples and send the results to the deceased person's family.

Proper citation: MUSC Center on Aging Campbell Neuropathology Laboratory (RRID:SCR_008826) Copy   

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http://neuroscienceblueprint.nih.gov/bpdrugs/index.htm

A network that provides support and NIH funding for neuroscience research and drug development through access to contract research organizations for outsourcing and research consultation. Successful applicants will receive funding to conduct biological testing, access to a full range of industry-style drug development services and expertise, and control of the intellectual property for drug candidates. Funded projects include treatments for age-related macular degeneration, ALS, Alzheimer's disease, depression, hearing loss, optic neuropathy and stroke.

Proper citation: Blueprint Neurotherapeutics Network (RRID:SCR_008829) Copy   

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http://www.mghmind.org

An institute whose mission is to translate laboratory discoveries into prevention, treatment and cures for Alzheimer's, ALS, Huntington's, Parkinson's and other neurodegenerative diseases. MIND seeks to accelerate therapies that lessen the toll of disease on patients and families. Researchers of the institute collaborate, strategize, and share technology to find treatment for these diseases. As promising leads are developed in one area, they are tested in the other neurodegenerative disorders.

Proper citation: MassGeneral Institute for Neurodegenerative Disease (RRID:SCR_008746) Copy   

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http://imagebank.hematology.org/

Image library offers a collection of peer reviewed images relating to hematology available to the ASH members and the hematology community. Image Bank slides are downloadable and users may create unique collections called My Collections. The Image Bank contains over 2100 images, and new images will be added each month. ASH encourages new submissions that are subject to review by the Image Bank Editor.

Proper citation: ASH Image Bank (RRID:SCR_008869) Copy   

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http://tools.researchonresearch.org/dodsg/web/WebDatabaseHTML.php?service=detail&id=64

THIS RESOURCE IS NO LONGER IN SERVICE, documented on Septemeber 02, 2014. Through a collaborative effort with experts in doctor-elderly patient interaction who participated in the development of ADEPT, a database of approximately 435 audio and video tapes of visits of patients age 65 and older (n=46) to their primary physician was established for testing ADEPT and for access by medical educators and researchers. Data associated with each tape include reason for visit, physician characteristics (age, race, gender), patient characteristics (age, race, gender), companion characteristics (age, race, gender), and length of doctor-patient relationship. Through a collaborative effort with experts in doctor-elderly patient interaction who participated in the development of ADEPT, a database of approximately 435 audio and video tapes of visits of patients age 65 and older (n=46) to their primary physician was established for testing ADEPT and for access by medical educators and researchers. Data associated with each tape include reason for visit, physician characteristics (age, race, gender), patient characteristics (age, race, gender), companion characteristics (age, race, gender), and length of doctor-patient relationship. Patient visits to their primary physician were videotaped at four sites: an academic medical center in the Midwest, an academic medical center in the Southwest, a suburban managed care medical group, and an urban group of physicians in independent practice. Repeat visits between the same doctor and patient were taped for 19 patients resulting in 48 tapes of multiple visits. Patients were recruited in the waiting room for a convenience sample. Before the visit, patients provided demographic data and completed a global satisfaction form. Following the visit, patients completed the SF-36, and the ABIM for patient satisfaction. Two weeks following the visit, patients were contacted by telephone and asked about their understanding, compliance and their utilization of health services over the past year. At twelve months, patients were contacted by telephone for administration of the SF-36, the global satisfaction form, and the utilization of health services survey. Data Availability: Archived at the Saint Louis University School of Medicine Library. Interested researchers and medical educators should contact the PI, Mary Ann Cook, JVCRadiology (at) sbcglobal.net * Dates of Study: 1998-2001 * Study Features: Longitudinal, Anthropometric Measures * Sample Size: 46

Proper citation: ADEPT - Assessment of Doctor-Elderly Patient Encounters (RRID:SCR_008901) Copy   

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http://steps.sourceforge.net/STEPS/default.php

STEPS is a package for exact stochastic simulation of reaction-diffusion systems in realistic, complex 3D geometries. Our core simulation algorithm is an efficient implementation of a variation on Gillespie''s SSA, extended to deal with diffusion of molecules over the elements of a 3D tetrahedral mesh. While it was mainly developed for simulating detailed models of neuronal signaling pathways in dendrites and around synapses, it is a general tool and can be used for studying any biochemical pathway in which spatial gradients and morphology are thought to play a role. We have implemented STEPS as a set of Python modules, which means STEPS users can use Python scripts to control all aspects of setting up the model, generating a mesh, controlling the simulation and generating and analyzing output. The core computational routines are still implemented as C/C++ extension modules for maximal speed of execution.

Proper citation: STEPS (RRID:SCR_008742) Copy   

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http://www.neurostruct.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A built-in toolbox for the tracing and analysis of neuroanatomy from nanoscale (high-resolution) imaging. It is a project under ongoing development. The name is originating by merging the words Neuron + reconstruct. The working concept is organized in filters applied successively on the image stack to be processed (pipeline). Currently, the focus of the software is the extraction of detailed neuroanatomical profiles from nanoscale imaging techniques, such as the Serial Block-Face Scanning Electron Microscopy (SBFSEM). The techniques applied, however, may be used to analyze data from various imaging methods and neuronal versatility. The underlying idea of Neurostruct is the use of slim interfaces/filters allowing an efficient use of new libraries and data streaming. The image processing follows in voxel pipelines by using the CUDA programming model and all filters are programmed in a datasize-independent fashion. Thus Neurostruct exploits efficiency and datasize-independence in an optimal way. Neurostruct is based on the following main principles: * Image processing in voxel pipelines using the general purpose graphics processing units (GPGPU) programming model. * Efficient implementation of these interfaces. Programming model and image streaming that guarantees a minimal performance penalty. * Datasize-independent programming model enabling independence from the processed image stack. * Management of the filters and IO data through shell scripts. The executables (filters) are currently managed through shell scripts. The application focuses currently in the tracing of single-biocytin filled cells using SBFSEM imaging. : * Extraction of neuroanatomical profiles: 3D reconstrution and 1D skeletons of the imaged neuronal structure. * Complete tracing: Recognition of the full neuronal structure using envelope techniques, thereby remedying the problem of spines with thin necks of an internal diameter approaching the SBFSEM resolution. * Separation (Coloring) of subcellular structures: Algorithms for the separation of spines from their root dendritic stem. * Evaluation and analysis of the imaged neuroanatomy: Calculation of the dendritic and spine membrane''s surface, spine density and variation, models of dendrites and spines

Proper citation: Neurostruct (RRID:SCR_008861) Copy   

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http://edwardslab.bmcb.georgetown.edu/

The Edwards lab conducts research in various aspects of computational biology and bioinformatics, particularly proteomics and mass spectrometry informatics and DNA and protein based signatures for pathogen detection. Some tools provided by Edwards Lab are the PepArML Meta-Search Engine, PeptideMapper Web-Service, Peptide Sequence Databases, Rapid Microorganism Identification Database (RMIDb), and GlycoPeptideSearch. Our primary area of research is the analysis of mass spectrometry experiments for proteomics. Proteomics, the qualitative and quantitative analysis of the expressed proteins of a cell, makes it possible to detect and compare the protein abundance profiles of different samples. Proteins observed to be under or over expressed in disease samples can lead to diagnostic markers or drug targets. The observation of mutated or alternatively spliced protein isoforms may provide domain experts with clues to the mechanisms by which a disease operates. The detection of proteins by mass spectrometry can even signal the presence of airborne microorganisms, such as anthrax, in the detect-to-protect time-frame. Recent research has focused on the discovery of novel peptides in proteomics datasets, improving the sensitivity and specificity of peptide identification using spectral matching with hidden Markov models, and unsupervised machine-learning based peptide identification result combining. Outside of proteomics, we work on computational tools for the design of highly specific oligonucleotides useful for pathogen signatures and PCR assay design. Recent research has focused on precomputing all human oligos of length 20 that are unique up to 4 string edits; and all bacterial 20-mer oligos that are species specific up to 4 string edits.

Proper citation: Edwards Lab (RRID:SCR_008860) Copy   

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http://akt.ucsf.edu/EGAN/

Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible

Proper citation: EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) Copy   

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http://spotfire.tibco.com/

The Spotfire Gene Ontology Advantage Application integrates GO annotations with gene expression analysis in Spotfire DecisionSite for Functional Genomics. Researchers can select a subset of genes in DecisionSite visualizations and display their distribution in the Gene Ontology hierarchy. Similarly, selection of any process, function or cellular location in the Gene Ontology hierarchy automatically marks the corresponding genes in DecisionSite visualizations. Platform: Windows compatible

Proper citation: Spotfire (RRID:SCR_008858) Copy   

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http://cancer.ucsf.edu/

The UCSF Helen Diller Family Comprehensive Cancer Center combines basic science, clinical research, epidemiology/cancer control, and patient care throughout the University of California, San Francisco. UCSF''s long tradition of excellence in cancer research includes, notably, the Nobel Prize-winning work of J. Michael Bishop and Harold Varmus, who discovered cancer-causing oncogenes. Their work opened new doors for exploring genetic mistakes that cause cancer, and formed the basis for some of the most important cancer research happening today. * Basic Scientific Research: From understanding normal cellular processes and replication to discovering the underlying molecular and genetic causes of cancer when these processes go awry, UCSF researchers are committed to moving scientific insights beyond model systems and pursuing their relevance for clinical oncology and cancer prevention. * Clinical Research: Clinical scientists explore how greater understanding of fundamental biological events can be transformed into clinically relevant tools. New forms of cancer treatment, as well as innovations in diagnosis and prognosis, undergo rigorous evaluation for safety and efficacytranslating into improved patient outcomes and hope for the future. * Patient Care: The Helen Diller Family Comprehensive Cancer Center provides superlative cancer patient care at four San Francisco medical centers: UCSF Medical Center at Mount Zion; UCSF Medical Center at Parnassus; San Francisco General Hospital; and the San Francisco Veterans Affairs Medical Center. * Population Science: Cancer population sciences at UCSF includes a broad range of research on the causes of new cancers and the sickness and death due to the disease in order to develop ways to improve the prevention and early detection of cancer as well as the quality of life following diagnosis and treatment for all of Northern California''s diverse populations.

Proper citation: UCSF Helen Diller Family Comprehensive Cancer Center (RRID:SCR_008857) Copy   

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http://trans.nih.gov/bmap/index.htm

The Brain Molecular Anatomy Project is a trans-NIH project aimed at understanding gene expression and function in the nervous system. BMAP has two major scientific goals: # Gene discovery: to catalog of all the genes expressed in the nervous system, under both normal and abnormal conditions. # Gene expression analysis: to monitor gene expression patterns in the nervous system as a function of cell type, anatomical location, developmental stage, and physiological state, and thus gain insight into gene function. In pursuit of these goals, BMAP has launched several initiatives to provide resources and funding opportunities for the scientific community. These include several Requests for Applications and Requests for Proposals, descriptions of which can be found in this Web site. BMAP is also in the process of establishing physical and electronic resources for the community, including repositories of cDNA clones for nervous system genes, and databases of gene expression information for the nervous system. Most of the BMAP initiatives so far have focused on the mouse as a model species because of the ease of experimental and genetic manipulation of this organism, and because many models of human disease are available in the mouse. However, research in humans, other mammalian species, non-mammalian vertebrates, and invertebrates is also being funded through BMAP. For the convenience of interested investigators, we have established this Web site as a central information resource, focusing on major NIH-sponsored funding opportunities, initiatives, genomic resources available to the research community, courses and scientific meetings related to BMAP initiatives, and selected reports and publications. When appropriate, we will also post initiatives not directly sponsored by BMAP, but which are deemed relevant to its goals. Posting decisions are made by the Trans-NIH BMAP Committee

Proper citation: BMAP - Brain Molecular Anatomy Project (RRID:SCR_008852) Copy   

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http://brainpeps.ugent.be/

Database of blood-brain barrier properties of peptides including structure, method, responses, physicochemical properties and related literature. The database is linked to a manuscript entitled Brainpeps: the blood-brain barrier peptide database, in which the BBB methods and responses are clarified and correlated to each other. Data may be submitted for addition to the database.

Proper citation: BrainPeps (RRID:SCR_008851) Copy   

•   Source: SciCrunch Registry

http://roadmapepigenomics.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 11, 2022. Project for human epigenomic data from experimental pipelines built around next-generation sequencing technologies to map DNA methylation, histone modifications, chromatin accessibility and small RNA transcripts in stem cells and primary ex vivo tissues selected to represent normal counterparts of tissues and organ systems frequently involved in human disease. Consortium expects to deliver collection of normal epigenomes that will provide framework or reference for comparison and integration within broad array of future studies. Consortium is also committed to development, standardization and dissemination of protocols, reagents and analytical tools to enable research community to utilize, integrate and expand upon this body of data.

Proper citation: Roadmap Epigenomics Project (RRID:SCR_008924) Copy   

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http://www.nitrc.org/projects/dots/

A fast, scalable tool developed at the Johns Hopkins University to automatically segment the major anatomical fiber tracts within the human brain from clinical quality diffusion tensor MR imaging. With an atlas-based Markov Random Field representation, DOTS directly estimates the tract probabilities, bypassing tractography and associated issues. Overlapping and crossing fibers are modeled and DOTS can also handle white matter lesions. DOTS is released as a plug-in for the MIPAV software package and as a module for the JIST pipeline environment. They are therefore cross-platform and compatible with a wide variety of file formats.

Proper citation: DOTS WM tract segmentation (RRID:SCR_009459) Copy   

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http://www.nitrc.org/projects/cbfdap/

A web enabled data and workflow management system extended from the HID codebase on NITRC specialized for Arterial Spin Labeling data management and analysis (including group analysis) in a centralized manner.

Proper citation: Cerebral Blood Flow Database and Analysis Pipeline (RRID:SCR_009454) Copy   

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http://www.gzip.org/

A compression utility designed to be a replacement for compress.

Proper citation: Gzip (RRID:SCR_009291) Copy   

•   Source: SciCrunch Registry