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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.
The Traumatic Brain Injury Model Systems National Data and Statistical Center (TBINDSC) located at Craig Hospital in Englewood, Colorado, is a central resource for researchers and data collectors within the Traumatic Brain Injury Model Systems (TBIMS) program. The primary purpose of the TBINDSC is to advance medical rehabilitation by increasing the rigor and efficiency of scientific efforts to longitudinally assess the experience of individuals with traumatic brain injury (TBI). The TBINDSC provides technical assistance, training, and methodological consultation to 16 TBIMS centers as they collect and analyze longitudinal data from people with TBI in their communities, and as they conduct research toward evidence-based TBI rehabilitation interventions. The project design includes * The first prospective, longitudinal multi-center study ever conducted which examines the course of recovery and outcomes following the delivery of a coordinated system of acute neurotrauma and inpatient rehabilitation. * Includes large scale follow-up to 20 years post-injury. Available from this site are links to the TBIMS Presentation and TBIMS Update, which has information about the individual model systems and descriptions of the injury and followup data that are being collected. 2007-2012 Project Priorities * Improved long-term outcomes of individuals with TBI by conducting 1-2 site-specific research projects to test innovative approaches that contribute to rehabilitation interventions and evaluating TBI outcomes in accordance with the focus areas identified in NIDRR''s Long-Range Plan. * Improved outcomes for individuals with TBI by participating in at least one collaborative research module project, which may range from pilot research to more extensive studies. * Continued assessment of long-term outcomes of TBI by enrolling at least 35 subjects per year into the longitudinal portion of the TBIMS database. * In carrying out research activities, each Center may select from the following research domains: Health and Function, Employment, Participation and Community Living, and Technology for Access and Function. In addition, each Center must: * Provide a multidisciplinary system of rehabilitation care specifically designed to meet the needs of individuals with TBI. The system must encompass a continuum of care, including emergency medical services, acute care services, acute medical rehabilitation services, and post-acute services; and * Coordinate with the NIDRR funded Model Systems Knowledge Translation Center to provide scientific results and information for dissemination to clinical and consumer audiences.
Proper citation: Traumatic Brain Injury Model Systems National Data and Statistical Center (RRID:SCR_006736) Copy
The Global Proteome Machine Organization was set up so that scientists involved in proteomics using tandem mass spectrometry could use that data to analyze proteomes. The projects supported by the GPMO have been selected to improve the quality of analysis, make the results portable and to provide a common platform for testing and validating proteomics results. The Global Proteome Machine Database was constructed to utilize the information obtained by GPM servers to aid in the difficult process of validating peptide MS/MS spectra as well as protein coverage patterns. This database has been integrated into GPM server pages, allowing users to quickly compare their experimental results with the best results that have been previously observed by other scientists.
Proper citation: Global Proteome Machine Database (GPM DB) (RRID:SCR_006617) Copy
The first publicly-funded text mining center in the world that provides text mining services in response to the requirements of the UK academic community. You can find pointers to sources of information about text mining such as links to: * text mining services provided by NaCTeM * software tools, both those developed by the NaCTeM team and by other text mining groups * seminars, general events, conferences and workshops * tutorials and demonstrations * text mining publications NaCTeM is operated by the University of Manchester with close collaboration with the University of Tokyo.
Proper citation: National Centre for Text Mining (RRID:SCR_006738) Copy
Annual report, standard analysis files and an online query system from the national data registry on the end-stage renal disease (ESRD) population in the U.S., including treatments and outcomes. The Annual Data Report is divided into two parts. The Atlas section displays data using graphs and charts. Specific chapters address trends in ESRD patient populations, quality of ESRD care, kidney transplantation outcomes, costs of ESRD care, Healthy People 2010 objectives, chronic kidney disease, pediatric ESRD, and cardiovascular disease special studies. The Reference Tables are devoted entirely to the ESRD population. The RenDER (Renal Data Extraction and Referencing) online data query system allows users to build data tables and maps for the ESRD population. National, state, and county level data are available. USRDS staff collaborates with members of Centers for Medicare & Medicaid Services (CMS), the United Network for Organ Sharing (UNOS), and the ESRD networks, sharing datasets and actively working to improve the accuracy of ESRD patient information.
Proper citation: United States Renal Data System (RRID:SCR_006699) Copy
http://bioconductor.org/packages/release/bioc/html/casper.html
Software to infer alternative splicing from paired-end RNA-seq data. The model is based on counting paths across exons, rather than pairwise exon connections, and estimates the fragment size and start distributions non-parametrically, which improves estimation precision.
Proper citation: casper (RRID:SCR_006613) Copy
A set of online services created in support of MIRIAM, a set of guidelines for the annotation and curation of computational models. The core of MIRIAM Resources is a catalogue of data types (namespaces corresponding to controlled vocabularies or databases), their URIs and the corresponding physical URLs or resources. Access to this data is made available via exports (XML) and Web Services (SOAP). MIRIAM Resources are developed and maintained under the BioModels.net initiative, and are free for use by all. MIRIAM Resources are composed of four components: a database, some Web Services, a Java library and this web application. * Database: The core of the system is a MySQL database. It allows us to store the data types (which can be controlled vocabularies or databases), their URIs and the corresponding physical URLs, and other details such as documentation and resource identifier patterns. Each entry contains a diverse set of details about the data type: official name and synonyms, root URI, pattern of identifiers, documentation, etc. Moreover, each data type can be associated with several resources (or physical locations). * Web Services: Programmatic access to the data is available via Web Services (based on Apache Axis and SOAP messages). In addition, REST-based services are currently being developed. This API allows one to not only resolve model annotations, but also to generate appropriate URIs, based upon the provision of a resource name and accession number. A list of available web services, and a WSDL are provided. A browser-based online demonstration of the Web Services is also available to try. * Java Library: A Java library is provided to access the Web Services. The documentation explains where to download it, its dependencies, and how to use it. * Web Application: A Web application, using an Apache Tomcat server, offers access to the whole data set via a Web browser. It is possible to browse by data type names as well as browse by tags. A search engine is also provided.
Proper citation: MIRIAM Resources (RRID:SCR_006697) Copy
Collaborative venture between the National Institute of Mental Health (NIMH) and several academic institutions. Repository facilitates psychiatric genetic research by providing patient and control samples and phenotypic data for wide-range of mental disorders and Stem Cells.Stores biosamples, genetic, pedigree and clinical data collected in designated NIMH-funded human subject studies. RGR database likewise links to other repositories holding data from same subjects, including dbGAP, GEO and NDAR. Allows to access these data and biospecimens (e.g., lymphoblastoid cell lines, induced pluripotent cell lines, fibroblasts) and further expand genetic and molecular characterization of patient populations with severe mental illness.
Proper citation: NIMH Repository and Genomics Resources (RRID:SCR_006698) Copy
http://bactibase.pfba-lab-tun.org/main.php
Data repository of bacteriocin natural antimicrobial peptides and includes data collected from published literature as well as high-throughput datasets. The database provides a manually curated annotation of bacteriocin sequences. New bacteriocin submissions are welcome. Various tools have been incorporated for bacteriocin analysis, such as homology search, multiple sequence alignments, Hidden Markov Models, molecular modelling and retrieval through our taxonomy Browser. BACTIBASE should be a useful tool in food preservation or food safety applications and could have implications for the development of new drugs for medical use. BACTIBASE contains calculated or predicted physicochemical properties of 218 bacteriocins produced by both Gram-positive (194) and Gram-negative bacteria (19). They also note the presence of three bacteriocins from the Archaea domain. The database now comprises 31 genera (2009).
Proper citation: BACTIBASE (RRID:SCR_006694) Copy
Repository contains antibody/B cell and T cell epitope information and epitope prediction and analysis tools. Immune epitopes are defined as molecular structures recognized by specific antigen receptors of the immune system, namely antibodies, B cell receptors, and T cell receptors. Immune epitopes from infectious diseases, excluding HIV, and immune-mediated diseases and the accompanying biological information are included.
Proper citation: Immune Epitope Database and Analysis Resource (IEDB) (RRID:SCR_006604) Copy
This website is a life-sciences research wiki hosted on Google Sites and managed by Principal Investigator Christopher Hogue at the National University of Singapore''''s Department of Biological Sciences on behalf of the Mechanobiology Institute of Singapore. Mechanobiology is the study of cellular and molecular systems that either respond to or generate forces. One of the major efforts of the Mechanobiology Institute is THE MANUAL OF CELLULAR AND MOLECULAR FUNCTION, a Wiki inspired online text resource. Brief History: Between 1997-2007 the Hogue Laboratory was located at Mount Sinai Hospital in Toronto where we developed BIND and other bioinformatics resources. Dr. Hogue was affiliated with the University of Toronto as a non-tenure track Associate Professor. Facing funding and staffing cutbacks in 2005, the intellectual property amassed by the group was sold by Mount Sinai Hospital & founders to Thomson-Reuters Scientific in March of 2007. In late 2007 Dr. Hogue moved to Singapore where he is now tenure-track faculty in Southeast Asia''''s Premiere Research University - the National Unviversity of Singapore.
Proper citation: Christopher Hogues Research Lab at the National University of Singapore (RRID:SCR_006725) Copy
Antibody and density gradient media supplier.
Proper citation: Progen (RRID:SCR_006726) Copy
A science-based organization focused on developing effective solutions to address the disease of addiction and reduce the risks associated with substance use. CASAColumbia works to: * Close the gap between what is known about addiction and what is actually done to prevent and treat it * Incorporate addiction prevention and treatment into routine health care and medical practice * Explore the possibility of finding a cure Founded by Former U.S. Secretary of Health, Education, and Welfare Joseph A. Califano, Jr., CASA remains the only national organization that assembles under one roof all of the professional skills needed to research and develop proven, effective ways to prevent and treat substance abuse and addiction to all substances - alcohol, nicotine as well as illegal, prescription and performance enhancing drugs - in all sectors of society. CASAColumbia is committed to understanding the science of addiction and its implications for health care, public policy and public education.
Proper citation: CASA (RRID:SCR_006607) Copy
http://rulai.cshl.edu/splicetrap/
A statistic tool for quantifying exon inclusion ratios in paired-end RNA-seq data, with broad applications for the study of alternative splicing. SpliceTrap approaches to exon inclusion level estimation as a Bayesian inference problem. For every exon it quantifies the extent to which it is included, skipped or subjected to size variations due to alternative 3?/5? splice sites or Intron Retention. In addition, SpliceTrap can quantify alternative splicing within a single cellular condition, with no need of a background set of reads.
Proper citation: SpliceTrap (RRID:SCR_006728) Copy
http://www.nlm.nih.gov/research/umls/rxnorm/
Ontology that provides a normalized naming system for generic and branded drugs and a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. It contains the names of prescription and many over-the-counter drugs available in the United States and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software. It can mediate messages between systems not using the same software and vocabulary. * RxNorm Download Files - contain data consistent with the 2013AB UMLS Metathesaurus Release Files. * RxNorm API - web service for accessing the current RxNorm data set. * RxNorm Browser (RxNav) - a browser for several drug information sources, including RxNorm, RxTerms and National Drug File - Reference Terminology (NDF-RT) . * Current Prescribable Content - subset of currently prescribable drugs found in RxNorm. * RxTerms Drug Interface Terminology - a drug interface terminology derived from RxNorm for prescription writing or medication history recording
Proper citation: RxNorm (RRID:SCR_006645) Copy
https://github.com/arq5x/bedtools2
A powerful toolset for genome arithmetic allowing one to address common genomics tasks such as finding feature overlaps and computing coverage. Bedtools allows one to intersect, merge, count, complement, and shuffle genomic intervals from multiple files in widely-used genomic file formats such as BAM, BED, GFF/GTF, VCF. While each individual tool is designed to do a relatively simple task (e.g., intersect two interval files), quite sophisticated analyses can be conducted by combining multiple bedtools operations on the UNIX command line.
Proper citation: BEDTools (RRID:SCR_006646) Copy
https://www.fludb.org/brc/home.spg?decorator=influenza
The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data.
Proper citation: Influenza Research Database (IRD) (RRID:SCR_006641) Copy
Model organism database for the social amoeba Dictyostelium discoideum that provides the biomedical research community with integrated, high quality data and tools for Dictyostelium discoideum and related species. dictyBase houses the complete genome sequence, ESTs, and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome to provide a ''''reference genome'''' in the Amoebozoa clade. They highlight several new features in the present update: (i) new annotations; (ii) improved interface with web 2.0 functionality; (iii) the initial steps towards a genome portal for the Amoebozoa; (iv) ortholog display; and (v) the complete integration of the Dicty Stock Center with dictyBase. The Dicty Stock Center currently holds over 1500 strains targeting over 930 different genes. There are over 100 different distinct amoebozoan species. In addition, the collection contains nearly 600 plasmids and other materials such as antibodies and cDNA libraries. The strain collection includes: * strain catalog * natural isolates * MNNG chemical mutants * tester strains for parasexual genetics * auxotroph strains * null mutants * GFP-labeled strains for cell biology * plasmid catalog The Dicty Stock Center can accept Dictyostelium strains, plasmids, and other materials relevant for research using Dictyostelium such as antibodies and cDNA or genomic libraries.
Proper citation: Dictyostelium discoideum genome database (RRID:SCR_006643) Copy
The Down Syndrome Research and Treatment Foundation is dedicated to finding a treatment to improve cognition including learning, memory and speech for individuals with Down syndrome. Since our founding in 2004 we have become the leading private source of funding in the United States for Down syndrome cognition research. The mission of DSRTF is to stimulate biomedical research that will accelerate the development of treatments to significantly improve cognition, including memory, learning and speech, for individuals with Down syndrome in order that they: * participate more successfully in school; * lead more active and independent lives; * and avoid the early onset of Alzheimer''s Disease. DSRTF is funding research that applies the information, tools and techniques resulting from the genome project along with recent advances in brain research to the study of cognition in Down syndrome. Our goal is the development of treatments that will improve learning, memory, and speech, and therefore enhance the lives of those with Down syndrome and their families. The majority of individuals with Down syndrome fall into the mild to moderate range of cognitive impairment. For many of these individuals, a 10%-20% improvement in cognitive ability would provide them with the ability to live independently, hold a job and be fully integrated within their communities.
Proper citation: Down Syndrome Research and Treatment Foundation (RRID:SCR_006637) Copy
A database which provides ribosome related data services to the scientific community, including online data analysis, rRNA derived phylogenetic trees, and aligned and annotated rRNA sequences. It specifically contains information on quality-controlled, aligned and annotated bacterial and archaean 16S rRNA sequences, fungal 28S rRNA sequences, and a suite of analysis tools for the scientific community. Most of the RDP tools are now available as open source packages for users to incorporate in their local workflow.
Proper citation: Ribosomal Database Project (RRID:SCR_006633) Copy
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