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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

(last updated: Oct 12, 2019)

Physical Resource or Software Tool Software

4 Results - per page

Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
Benaroya Research Institute: Neurological DiseasesResource, department portal, organization portal, portal, data or information resourceBRI investigators study the molecular and genetic mechanisms which underlie some of the most devastating chronic neurological disorders, and conduct clinical trials for new innovative therapies. Neurological studies that are currently studied include Amyotrophic lateral sclerosis (ALS) or Lou Gehrig's Disease, Multiple Sclerosis, and Parkinson's Disease.genetic, chronic, disease, disorder, neurologicalSCR_001576(Benaroya Research Institute: Neurological Diseases, RRID:SCR_001576)Benaroya Research Institute Amyotrophic Lateral Sclerosis, Multiple Sclerosis, Parkinson's diseaseLast checked downnif-0000-10379http://www.vmresearch.org/disease-information/disease-research/neurological-diseases
GWASrapResource, data analysis service, data access protocol, production service resource, analysis service resource, data set, web service, service resource, software resource, data or information resourceGWASrap is a comprehensive web-based bioinformatics tool to systematically support variant representation, annotation and prioritization for data generated from genome-wide association studies (GWAS) and Next Generation Sequencing (NGS). Our web-based framework utilizes state-of-the-art web technologies to maximize user interaction and visualization of the results. For a given SNP dataset with its P-values, GWASrap will first provide a Circos-style plot to visualize any genetic variants at either the genome or chromosome level. The tool then combines different genomic features (SNP/CNV density, disease susceptibility loci, etc.) with comprehensive annotations that give the researcher an intuitive view of the functional significance of the different genomic regions. The detailed statistics of the underlying study are also displayed on the web page, including variant distribution in different functional categories, classic Manhattan plot and QQ plot. Users can perform interactive operations in the Manhattan panel, such as zooming in and out to search regions or markers of interest. The system can also display a comprehensive range of relevant information from variant genetic attributes to nearby genomic elements, such as enhancers or non-coding RNAs. Furthermore, researchers can obtain extensive functional predictions for various features including transcription factor-binding sites, miRNA and miRNA target sites, and their predicted changes caused by the genetic variants. Our system can re-prioritize genetic variants by combining the original statistical value and variant prioritization score based on a simple additive effect equation. Researchers can also re-evaluate the significance of a trait/disease-associated SNP (TAS) using the dynamic linkage disequilibrium (LD) panel or the tree-like network panel. The GWASrap supports input variants in different formats, not only common variants with a dbSNP rs ID but also rare variants from NGS data, which are represented by chromosome and locations. GWASrap provides a range of web services for data retrieving about the annotation information and effect prediction of each variant in dbSNP using the SOAP interface. The WSDL for each service is available in the API tab. Each service returns JSON string including all related information with key/value. GWASrap provides running results about some current published GWAS as well as a category view for each hot disease / trait. The dataset is brought from published database GWAS or curated from literature.genome wide association study, annotation, next generation sequencing, genetic variant, prioritize, visualize, genome, chromosome, functional prediction, transcription factor-binding site, mirna, mirna target site, prediction, target site, transcription factor, binding site, statistics, trait/disease-associated snp, single nucleotide polymorphism, trait, disease, representation, linkage disequilibriumSCR_013144(GWASrap, RRID:SCR_013144)University of Hong Kong; Hong Kong; China Bipolar Disorder, Alzheimer's disease, Depression, Parkinson Disease, Diabetes Mellitus, Amyotrophic Lateral Sclerosis, Rheumatoid Arthritis, HIV-1 Disease, Human immunodeficiency virus, Hematopoietic System Disease, Prostate Cancer, Coronary Artery Disease, Schizophrenia, Arteriopathy, Multiple Sclerosis, Crohn''''s Disease, Hypertension, Breast Cancerrelated to: GWASdbPMID:22801476Last checked upnlx_151497
PatientsLikeMeResource, data or information resourceA for-profit health data-sharing platform that can transform the way patients manage their conditions, change the way industry conducts research and improve patient care. PatientsLikeMe aligns patient and industry interests through data-sharing partnerships. They work with trusted nonprofit, research and industry Partners who use this health data to improve products, services and care for patients. They take the information patients share about their experience with the disease and sell it to their partners (i.e., companies that are developing or selling products to patients). These products may include drugs, devices, equipment, insurance, and medical services. Except for the restricted personal information entered when registering for the site, participants should expect that every piece of information submitted (even if it is not currently displayed) may be shared with their partners and any member of PatientsLikeMe, including other patients. They do not rent, sell or share personally identifiable information for marketing purposes or without explicit consent. Because they believe in transparency, they tell members exactly what they do and do not do with their data. Patients have the opportunity to share both personal stories and health data about their conditions to help uncover great ideas and new knowledge. By sharing information on the site, they can put their disease experiences in context and find answers to the questions they have. Every partnership we develop must bring them closer to aligning patient and industry interests. Their end goal is improved patient care and quality of life.patient, treatment, symptom, condition, health, data sharing, patient care, disease, community building portal, blogSCR_003781(PatientsLikeMe, RRID:SCR_003781)Amyotrophic Lateral Sclerosis, Motor neuron degeneration, Primary Lateral Sclerosis, Progressive Muscular Atrophy, Parkinson's disease, Multiple Sclerosis, HIV, AIDS, Mood condition, Depressive Disorder, Anxiety, Bipolar Disorder, Obsessive-Compulsive Disorder, Post-Traumatic Stress Disorder, Multiple System Atrophy, Progressive Supranuclear Palsy, Neuromyelitis Optica, Fibromyalgia, Chronic Fatigue, ME, Epilepsy, Organ TransplantLast checked upnlx_143529
ALS ForumResource, disease-related portal, topical portal, data or information resource, portal, research forum portalA research forum portal for ALS-related resources targeted specifically towards academic and industry-based researchers. The aim of the ALS Forum is to identify existing research resources and build new tools to help veteran researchers accelerate their work and to help those new to the ALS field quickly get up to speed. It currently consists of content developed through a partnership with the Alzforum and filtered for its relevance to ALS, as well as links to ALS review articles, and a dynamic listing of current drug development efforts relevant to ALS.forum, portal, research, alzheimer's, disease, academic, industry, therapy, article, pathology, als, treatment, amyotrophic lateral sclerosis, lou gehrig's diseaseSCR_007160(ALS Forum, RRID:SCR_007160)Amyotrophic Lateral Sclerosis, Lou Gehrig's diseasePrice4Life IncLast checked upnif-0000-37670
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