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http://dermatlas.med.jhmi.edu/derm/

Database of dermatology cases and browsable by diagnosis, category or body site with 12,176 images, 583 contributors and dermatology links. You may retrieve images using any diagnosis, disease category, body site, pigmentation, image contributor, patient age, image name, and/or key words. You are welcome submit images or to download images for lectures and other teaching purposes - or with permission for other uses. Additionally, you may search DermAtlas from your website. Add YOUR Link On the DermAtlas'''' Add a Link Page you can associate your link with as many diagnoses as you like. Case submission If you have a high quality image that you would like to submit to DermAtlas, submit the requested information, and upload the image. The data and image will automatically be sent to the editors for review. You will be notified within one week of submission of images. In order for an image to be considered for inclusion into this collection, consent must be obtained from the patient or his/her legal guardian. Contributors are solely responsible for obtaining consent.

Proper citation: DermAtlas. (RRID:SCR_004977) Copy   

•   Source: SciCrunch Registry

http://llama.mshri.on.ca/synergizer/translate/

The Synergizer database is a growing repository of gene and protein identifier synonym relationships. This tool facilitates the conversion of identifiers from one naming scheme (a.k.a namespace) to another. The Synergizer is a service for translating between sets of biological identifiers. It can, for example, translate Ensembl Gene IDs to Entrez Gene IDs, or IPI IDs to HGNC gene symbols, and much more. Unlike some other tools for this purpose, The Synergizer is simple and easy to learn. The Synergizer works via a web interface (for users who are not programmers) or through a web service (for programmatic access).

Proper citation: Synergizer (RRID:SCR_005308) Copy   

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http://knhi.de/en/network/

Association of physicians, scientists, academics, research institutes and self-help groups that provides and nurtures interdisciplinary cooperation between research and primary, secondary and tertiary health care. Many internationally renowned heart failure researchers and working groups live and work in Germany. Nevertheless, there is insufficient cooperation of the respective working groups and research projects in this area. In order to remain internationally competitive in the heart failure research community, excellent implementation of large scale clinical and genetic trials is indispensable. Further, deficits in the effective presentation and transfer of research findings into clinical practice need to be addressed. An adequate translation of guidelines into practical, tangible instructions can facilitate clinical practice both in primary and tertiary care fundamentally. The need for action to address the research-practice-gap is obvious.

Proper citation: Competence Network Heart Failure (RRID:SCR_004979) Copy   

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http://www.med.umkc.edu/psychiatry/nbtb/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 31, 2016. The UMKC Neuroscience Brain Tissue Bank and Research Laboratory has been established to obtain, process, and distribute human brain tissue to qualified scientists and clinicians dedicated to neuroscience research. No other living organ approaches the human brain in complexity or capacity. Healthy, it astounds and inspires miracles. Diseased, it confounds and diminishes hope. The use of human brain tissue for research will provide insight into the anatomical and neurochemical aspects of diseased and non-diseased brains. While animal models are helpful and necessary in understanding disease, certain disorders can be more efficiently studied using human brain tissue. Also, modern research techniques are often best applied to human tissue. We also need samples of brain tissue that have not been affected by disease. They help us to compare a 'normal' brain with a diseased one. Also, we have a critical need for brain donations from relatives who have genetically inherited disorders. Tissue preparation consists of fresh quick-frozen tissue blocks or coronal slices (nitrogen vapor frozen; custom dissection of specific anatomic regions) or formalin-fixed coronal slices (custom dissection of specific anatomic regions).

Proper citation: UMKC Neuroscience Brain Tissue Bank and Research Laboratory (RRID:SCR_005148) Copy   

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http://www.tnp.pitt.edu/pages/donationfrm_mb.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 19,2024. Brain tissue donation is a valuable contribution to mental health research. It enables scientists to investigate how the normal brain works, and how the brain is disturbed when it is affected by schizophrenia, depression, bipolar (manic depressive) disease or other related disorders. The Department of Psychiatry at the University of Pittsburgh has established a brain tissue bank to which brain tissue can be donated at no expense. The gift of brain tissue enables scientists to conduct research designed to understand causes, to develop new treatments, and ultimately to find cures for diseases that affect the brain. Brain tissue donation is a gift that makes it possible for researchers to study various types of mental disorders. Donations of brain tissue from individuals without these disorders are also needed to establish comparisons with brain samples from individuals who have these disorders. Any legally competent adult or guardian may indicate during life their interest in donating brain tissue after death. Next-of-kin either of healthy individuals or of those with psychiatric disorders may give consent to donate brain tissue following the death of a loved one. Brain tissue is removed during autopsy at a morgue or hospital and is transported to the University of Pittsburgh Medical Center for examination and study.

Proper citation: University of Pittsburgh Brain Tissue Donation Program (RRID:SCR_005028) Copy   

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http://hmmer.janelia.org/

Tool for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs). Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.

Proper citation: Hmmer (RRID:SCR_005305) Copy   

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http://www.rls.org/

Non-profit organization providing the latest information about Restless Legs Syndrome (RLS). Its goals are to increase awareness, improve treatments, and through research, find a cure for RLS, a condition which severely affects the lives of millions of individuals. By educating healthcare providers about RLS symptoms, diagnosis, and treatment, the RLS Foundation helps patients receive the quality care they both need and deserve. In recent years the Foundation has provided information to healthcare providers at many exhibit meetings, including the American Academy of Neurology, the American College of Obstetricians and Gynecologists, and the American Academy of Nurse Practitioners. The Foundation continually strives to be the most reputable source of information on RLS. Their renowned Medical Advisory Board, composed of leading RLS experts from all over the world, has written several publications on the diagnosis and treatment of RLS. These include our comprehensive RLS Medical Bulletin, their patient brochure, and their brochures on special topics including concerns for surgery, depression, pregnancy, and children. The Foundation has taken giant strides to further RLS research, funding grants for 27 research projects. Among the most distinguished research projects the Foundation has put its resources behind is the ongoing Stanford Epidemiology Project. Although it is still underway, the Foundation recognizes that the highly anticipated results of the Stanford Epidemiology Project, including the creation of a world standard questionnaire used to accurately diagnose RLS, could be spectacular. Eventually this questionnaire may help researchers understand the health consequences of RLS and identify other conditions and diseases that are associated with or exacerbated by RLS. In addition, the RLS Foundation helped fund a study led by Dr. David Rye and deCODE Genetics in Iceland which recently announced the discovery of a gene for RLS.

Proper citation: RLS Foundation (RRID:SCR_005144) Copy   

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https://knightadrc.wustl.edu/center-events/

Videos of Knight ADRC related events for educational and informational purposes. A link to additional Center produced media is provided to access the Knight ADRC YouTube Channel. Videos are in HTML5 mp4 format and are available in 1080p or 4K resolution.

Proper citation: WU Knight ADRC Multimedia Presentations (RRID:SCR_005147) Copy   

•   Source: SciCrunch Registry

https://adrc.mc.duke.edu/index.php/research/brain-bank

A research repository of human brains with neurological disorders and normal controls, recruited through the Autopsy and Brain Donation Program coordinator. The Kathleen Price Bryan Brain Bank contains brains from patients with Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis, Huntington's disease, Muscular Dystrophy, and other neurological and dementing disorders. The brain tissue is subjected to a detailed neuropathological evaluation and then stored as fixed and frozen hemispheres, paraffin blocks and histological slides. After receipt of an IRB approved request, tissue is supplied to investigators at Duke University, major medical centers and pharmaceutical companies across the United States and worldwide.

Proper citation: Duke University Kathleen Price Bryan Brain Bank (RRID:SCR_005022) Copy   

•   Source: SciCrunch Registry

http://science.kqed.org/quest/

An award-winning multimedia science and environment series created by KQED, San Francisco, the public media station serving Northern California. Launched in February 2007, by the end of its fourth season (in September 2010), QUEST had reached approximately 36 million viewers and listeners through its traditional TV and radio broadcasts and its growing Web audience. QUEST''s ultimate aim is to raise science literacy in the San Francisco Bay Area and beyond, inspiring audiences to discover and explore science and environment issues for themselves. Every season, KQED''s QUEST produces: * half-hour television episodes episodes that air weekly, exploring the cutting-edge work of Northern California scientists and researchers (QUEST airs Wednesdays 7:30pm on KQED Public Television 9); * weekly radio reports covering urban environmental issues which often include multimedia slide shows, and interactive online maps (QUEST airs Mondays 6:30am and 8:30am on KQED Public Radio 88.5 FM); * Educational resources, for use by formal and informal educators; QUEST also provides professional development for science educators to support multimedia and technology integration in science classrooms and programs; * 20 six-minute stories for its new web only series, Science on the SPOT, which takes a fresh, fast and curious look at science with stories about albino redwoods, the science of fog and banana slugs, to name a few. (launched in 2010); * A daily science blog written by Northern California scientists, QUEST producers and science enthusiasts; * Exclusive web extras, featuring extended interviews with scientists; Flickr photos, and science hikes. Formal and informal Educators who would like to become involved withthe educational outreach program should contact: ScienceEd (at) kqed.org.

Proper citation: QUEST (RRID:SCR_005210) Copy   

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http://www.openphacts.org/

Project that developed an open access discovery platform, called Open Pharmacological Space (OPS), via a semantic web approach, integrating pharmacological data from a variety of information resources and tools and services to question this integrated data to support pharmacological research. The project is based upon the assimilation of data already stored as triples, in the form subject-predicate-object. The software and data are available for download and local installation, under an open source and open access model. Tools and services are provided to query and visualize this data, and a sustainability plan will be in place, continuing the operation of the Open PHACTS Discovery Platform after the project funding ends. Throughout the project, a series of recommendations will be developed in conjunction with the community, building on open standards, to ensure wide applicability of the approaches used for integration of data.

Proper citation: Open PHACTS (RRID:SCR_005050) Copy   

•   Source: SciCrunch Registry

http://www.vetmed.ucdavis.edu/cceh/

The Center for Children''s Environmental Health and Disease Prevention is a multi-disciplinary collaborative research organization established to examine how toxic chemicals may influence the development of autism in children. The Center''s goal is to contribute knowledge about autism that will lead to new strategies for the prevention and treatment of this mysterious condition. Parents and health professionals have raised concerns about how environmental factors such as pesticides, a variety of chemicals, or even some ingredients included in vaccines may effect the development of the disorder. We are the first center to examine the roles of a wide range of toxic chemicals, genetic predisposition, and the interplay between these two in altering brain development during early life and leading to abnormal social behavior in children. Scientists in the CCEH study the effects of the environment on children''s health, with a particular focus on autism. Researchers come from all fields including molecular biology, medicine, nutrition, psychology, animal behavior, and genetics. The Center''s research is guided by an Advisory Board with representatives including parents, activists, non-profits, government agencies, and concerned citizens. This Center is one of several children''s centers throughout the nation funded by the U.S. EPA and NIEHS.

Proper citation: UC Davis Center for Childrens Environmental Health (RRID:SCR_004998) Copy   

•   Source: SciCrunch Registry

http://bbmri-wiki.wikidot.com/start

The BBMRI Wiki is intended to help establish a standard vocabulary within the European BBMRI (Biobanking and Biomolecular Resources Research Infrastructure) project. This Wiki also facilitates the definition and updating of new terms as well as the Minimum Information About BIobank data Sharing: MIABIS. MIABIS represents the minimum information required to enable the exchange of biological samples and data between biobanks.

Proper citation: BBMRI Wiki (RRID:SCR_004994) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/popset

Database containing a set of DNA sequences that have been collected to analyse the evolutionary relatedness of a population. The population could originate from different members of the same species, or from organisms from different species. Users may submit a Popset using Sequin.

Proper citation: NCBI Popset (RRID:SCR_005049) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/CABRO

A web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This is a novel and emerging domain, since it employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.

Proper citation: Computer Assisted Brain Injury Rehabilitation Ontology (RRID:SCR_005288) Copy   

•   Source: SciCrunch Registry

http://tbgri.in/

Tropical Botanic Garden & Research Institute (TBGRI) is an autonomous Institute established by the Government of Kerala on 17th November 1979 and registered on 23rd November 1979 under the Travancore-Cochin Literary, Scientific and Charitable Societies Registration Act, 1955. It functions under the umbrella of the Science, Technology and Environment Department, Government of Kerala. Prof. A. Abraham, a visionary and a great Botanist, conceived the idea of establishing a Botanic Garden and Research Institute to study and conserve the rare and vanishing wild plant genetic resources of the country. Kinded by the spirit of his concept, the Government of Kerala took a far sighted decision resulting in the establishment of Tropical Botanic Garden & Research Institute (TBGRI) as an autonomous organization at Thiruvananthapuram, the capital City of Kerala. In the beginning, the Institute functioned at Thiruvananthapuram city on a rented duplex building. Thanks to the Forests & Wildlife Department, the land for establishment of the garden was allotted in 1983 and the foundation stone was laid on 27th May 1983 by the then Chief Minister, Shri K. Karunakaran. The then Education Minister, the late C. H. Mohammed Koya laid the foundation stone for the construction of the Visiting Scientists'' Guest House. The meeting was presided over by the Minister for Forests, Shri K. P. Noorudeen. With the recruitment of a skeletal scientific and technical staff, the Institute made a modest beginning. Biotechnology and Taxonomy were the two subjects considered to have immediate relevance to the development of the garden. While taxonomists prepared a flora of the garden documenting the native plant wealth before mass introduction and face lift which subsequently followed, the bio-technologists mass multiplied plants of commercial importance, especially orchids for cultivation and distribution to the public. The Royal Botanic Gardens (RBG), Kew played an exemplary and significant role in shaping and design of garden lay out of TBGRI in its formative stages. RBG, Kew not only lent its best men to train our technical staff in gardening and landscaping but also generously supplied books and living plants as gifts to enrich the respective collections. Undoubtedly, the continuing support of RBG, Kew is of special mention in the development of the Garden.

Proper citation: Tropical Botanic Garden and Research Institute (RRID:SCR_005162) Copy   

•   Source: SciCrunch Registry

http://glioblastoma.alleninstitute.org/

Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment.

Proper citation: Ivy Glioblastoma Atlas Project (RRID:SCR_005044) Copy   

•   Source: SciCrunch Registry

http://en.wikibooks.org/wiki/MINC/Atlases

A linear average model atlas produced by the International Consortium for Brain Mapping (ICBM) project. A set of full- brain volumetric images from a normative population specifically for the purposes of generating a model were collected by the Montreal Neurological Institute (MNI), UCLA, and University of Texas Health Science Center at San Antonio Research Imaging Center (RIC). 152 new subjects were scanned using T1, T2 and PD sequences using a specific protocol. These images were acquired at a higher resolution than the original average 305 data and exhibit improved contrast due predominately to advances in imaging technology. Each individual was linearly registered to the average 305 and a new model was formed. In total, three models were created at the MNI, the ICBM152_T1, ICBM152_T2 and ICBM152_PD from 152 normal subjects. This resulting model is now known as the ICBM152 (although the model itself has not been published). One advantage of this model is that it exhibits better contrast and better definition of the top of the brain and the bottom of the cerebellum due to the increased coverage during acquisition. The entirely automatic analysis pipeline of this data also included grey/white matter segmentation via spatial priors. The averaged results of these segmentations formed the first MNI parametric maps of grey and white matter. The maps were never made publicly available in isolation but have formed parts of other packages for some time including SPM, FSL AIR and as models of grey matter for EEG source location in VARETTA and BRAINWAVE. Again, as these models are an approximation of Talairach space, there are differences in varying areas, to continue our use of origin shift as an example, the ICBM models are approximately 152: +3.5mm in Z and +-co-ordinate -3.5mm and 2.0mm in Y as compared to the original Talairach origin. In addition to the standard analysis performed on the ICBM data, 64 of the subjects data were segmented using model based segmentation. 64 of the original 305 were manually outlined and a resulting parametric VOI atlas built. The native data from these acquisitions was 256x256 with 1mm slices. The final image resolution of this data was 181x217x181 with 1mm isotropic voxels. Refer to the ICBM152 NonLinear if you are fitting an individual to model and do not care about left/right comparisons. A short history of the various atlases that have been produced at the BIC (McConnell Brain Imaging Center, Montreal Neurological Institute) is provided.

Proper citation: MINC/Atlases (RRID:SCR_005281) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/percolator/

Percolator post-processes the results of a shotgun proteomics database search program, re-ranking peptide-spectrum matches so that the top of the list is enriched for correct matches. Shotgun proteomics uses liquid chromatography-tandem mass spectrometry to identify proteins in complex biological samples. We describe an algorithm, called Percolator, for improving the rate of peptide identifications from a collection of tandem mass spectra. Percolator uses semi-supervised machine learning to discriminate between correct and decoy spectrum identifications, correctly assigning peptides to 17% more spectra from a tryptic dataset and up to 77% more spectra from non-tryptic digests, relative to a fully supervised approach. The yeast-01 data is available in tab delimetered format. The SEQUEST parameter file and target database for the yeast and worm data are also available.

Proper citation: Percolator: Semi-supervised learning for peptide identification from shotgun proteomics datasets (RRID:SCR_005040) Copy   

•   Source: SciCrunch Registry

http://www.bri.ucla.edu

Portal touching on all aspects of neuroscience from molecules to the mind, from the laboratory bench to the patient's bedside. Members study the normal structure and workings of the nervous system, its development, its cognitive functions, its derangement by disease and injury, and the means of its repair and protection. Projects span traditional disciplinary boundaries, as do graduate and postdoctoral training programs. Its major achievement has been to foster and improve multidisciplinary collaborations which has increasingly permitted the identification of pathogenic mechanisms and the formulation of new therapeutic approaches.

Proper citation: Brain Research Institute (RRID:SCR_004988) Copy   

•   Source: SciCrunch Registry