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The National Bioscience Database Center (NBDC) intends to integrate all databases for life sciences in Japan, by linking each database with expediency to maximize convenience and make the entire system more user-friendly. We aim to focus our attention on the needs of the users of these databases who have all too often been neglected in the past, rather than the needs of the people tasked with the creation of databases. It is important to note that we will continue to honor the independent integrity of each database that will contribute to our endeavor, as we are fully aware that each database was originally crafted for specific purposes and divergent goals. Services: * Database Catalog - A catalog of life science related databases constructed in Japan that are also available in English. Information such as URL, status of the database site (active vs. inactive), database provider, type of data and subjects of the study are contained for each database record. * Life Science Database Cross Search - A service for simultaneous searching across scattered life-science databases, ranging from molecular data to patents and literature. * Life Science Database Archive - maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata in a unified format, and to access and download the datasets with clear terms of use. * Taxonomy Icon - A collection of icons (illustrations) of biological species that is free to use and distribute. There are more than 200 icons of various species including Bacteria, Fungi, Protista, Plantae and Animalia. * GenLibi (Gene Linker to bibliography) - an integrated database of human, mouse and rat genes that includes automatically integrated gene, protein, polymorphism, pathway, phenotype, ortholog/protein sequence information, and manually curated gene function and gene-related or co-occurred Disease/Phenotype and bibliography information. * Allie - A search service for abbreviations and long forms utilized in life sciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise. * inMeXes - A search service for English expressions (multiple words) that appear no less than 10 times in PubMed/MEDLINE titles or abstracts. In addition, you can easily access the sentences where the expression was used or other related information by clicking one of the search results. * HOWDY - (Human Organized Whole genome Database) is a database system for retrieving human genome information from 14 public databases by using official symbols and aliases. The information is daily updated by extracting data automatically from the genetic databases and shown with all data having the identifiers in common and linking to one another. * MDeR (the MetaData Element Repository in life sciences) - a web-based tool designed to let you search, compare and view Data Elements. MDeR is based on the ISO/IEC 11179 Part3 (Registry metamodel and basic attributes). * Human Genome Variation Database - A database for accumulating all kinds of human genome variations detected by various experimental techniques. * MEDALS - A portal site that provides information about databases, analysis tools, and the relevant projects, that were conducted with the financial support from the Ministry of Economy, Trade and Industry of Japan.
Proper citation: NBDC - National Bioscience Database Center (RRID:SCR_000814) Copy
Repository of biospecimen and phenotype data collected from Crohn's disease and ulcerative colitis cases and controls recruited at six sites throughout North America that are available to the scientific community. Phenotyping is performed using a standardized protocol, and lymphoblastoid cell lines are established for each subject. Phenotype data for each subject are collected by the Consortium's Data Coordinating Center (DCC), and phenotype data for all subjects with DNA samples are available. The resulting DNA samples have already been utilized by the Consortium to complete various association studies, including genome-wide association studies using dense genotyping arrays. Researchers can obtain DNA samples and phenotype, genotype, and pedigree data through the Data Repository. GWAS data must be requested through dbGAP. The IBDGC is involved with independent genetic research studies and actively works with members of the IBD and genetic communities on collaborative projects. They are also members of the International IBD Genetics Consortium. Phenotype Tools: The Consortium Phenotype Committee, led by Dr. Hillary Steinhart designed and validated paper forms to collect extensive phenotype data on Crohn's Disease and ulcerative colitis. Consortium phenotype tools are available for use by non-Consortium members.
Proper citation: NIDDK Inflammatory Bowel Disease Genetics Consortium (RRID:SCR_001461) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented November 23, 2020; EEG data set, source code, and results from 7500 signal pairs from 5 epilepsy patients analyzed in the manuscript, Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206, 2012. All Matlab source codes are included in the file ASR_Sources_2012_10_16.zip. The clinical purpose of these recordings was to delineate the brain areas to be surgically removed in each individual patient in order to achieve seizure control.
Proper citation: Bern-Barcelona EEG database (RRID:SCR_001582) Copy
Project portal's database of protein-ligand data sets provided by pharmaceutical partners that provide atomic details of drug mechanisms that will be used to improve computer-aided drug-design methods and thus accelerate drug discovery. The project aims to help companies release the high-quality data they have generated, which has incredible value to researchers working to improve methods of computer-aided drug discovery. Everyone stands to benefit from the ability to develop new medications more quickly and inexpensively. What computational chemists globally are trying to do is to make faster, more accurate, more predictive programs to speed up the process. Part of their mission is to engage the community in these challenges to test newly developed predictive algorithms.
Proper citation: Drug Design Data Resource (RRID:SCR_000497) Copy
Nonprofit alliance of national organizations and state teams dedicated to increasing organ, eye and tissue donation. Donate Life America manages and promotes the national brand for donation, Donate Life, and assists Donate Life State Teams and national partners in facilitating high-performing donor registries; developing and executing effective multi-media donor education programs; and motivating the American public to registeras organ, eye and tissue donors.
Proper citation: Donate Life America (RRID:SCR_000531) Copy
https://www.epfl.ch/labs/mmspg/research/page-58317-en-html/bci-2/bci_datasets/
A portal containing EEG datasets (in MATLAB format) and the MATLAB software that were used to produce the results in the paper named in the title of this resource. The files published can also be used as a basis for individual research on P300-based brain-computer interfaces. The system is based on the P300 evoked potential and is tested with five severely disabled and four able-bodied subjects. For four of the disabled subjects classification accuracies of 100% are obtained. The bitrates obtained for the disabled subjects range between 10 and 25 bits/min. The effect of different electrode configurations and machine learning algorithms on classification accuracy is tested.
Proper citation: An efficient P300-based brain-computer interface for disabled subjects (RRID:SCR_001584) Copy
http://www.uef.fi/en/-neurotieteet
Portal of neuroscience and neurology resources pertaining to the University of Eastern Finland.
Proper citation: UKU Neuroscience and Neurology Links (RRID:SCR_001733) Copy
http://wikisites.mcgill.ca/GlobalHealthGuide/index.php/Main_Page
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 15,2025. Wiki of resources useful for researchers and clinicians interested in global health. All McGill faculty, clinicians, researchers, staff and students are encouraged to use and add to these resources. If members of the research community would like to contribute to this resource, but are not a member of the McGill community, the McGill community is available for contact. An account will be created for users.
Proper citation: McGill Global Health Resource Guide (RRID:SCR_001096) Copy
Software toolkit to run modern molecular simulations. It can be used either as a standalone application for running simulations, or as a library that enables accelerated calculations for molecular dynamics on high-performance computer architectures.
Proper citation: OpenMM (RRID:SCR_000436) Copy
http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach
Resource that discusses MNI brain, and the difference between the MNI brain and the brain in the Talairach atlas. Approaches to converting MNI coordinates to Talairach coordinates and a few other methods for locating your activation are also presented.Matlab function that transforms MNI coordinates to Talaraich coordinates. The inverse function, tal2mni is also available.
Proper citation: MNI brain and the Talairach atlas (RRID:SCR_000434) Copy
Portal of GEN2PHEN project, holistic approach to genotype-to-phenotype data. Aims to unify human and model organism genetic variation databases towards increasingly holistic views into Genotype-To-Phenotype (G2P) data, and to link this system into other biomedical knowledge sources via genome browser functionality.
Proper citation: G2P Knowledge Centre (RRID:SCR_000790) Copy
http://neuromuscular.wustl.edu/
Organization portal for neuromuscular disease community and contains comprehensive listing of biological and clinical aspects of neuromuscular disorders.This knowledge base contains information on the physiology, structure of ion channels, neurotransmitters, neuroreceptors, and associated diseases. Major categories include DISORDERS & SYNDROMES, INDEXES, NEUROMUSCULAR EVALUATION, ANTIBODY TESTING and NEUROMUSCULAR DIVISION.
Proper citation: Washington University Neuromuscular Disease Center (RRID:SCR_002059) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 14, 2016. The Australian Digital Futures Institute no longer exists. It has been replaced by the USQ Digital Life Lab.
A portal for the Australian Digital Futures Institute, a cross-institutional, multidisciplinary Institute that focuses on software research for technology-enhanced innovation.
Proper citation: Australian Digital Futures Institute (RRID:SCR_001365) Copy
Collection of isogenic human cell lines that are deficient for the expression of single genes. The current collection is based on the human cell line KBM-7 (Kotecki et al. Experimental Cell Research 1999), which is haploid for all chromosomes except chromosome 8 and a small part of chromosome 15. In these cells, genes are disrupted by the means of a retroviral gene trap. The collection is being expanded to cover the majority of expressed genes. The Human Gene Trap Mutant Collection is generated as a public-private partnership between CeMM (the Research Center for Molecular Medicine of the Austrian Academy of Sciences) and Haplogen.
Proper citation: Human Gene Trap Mutant Collection (RRID:SCR_001634) Copy
This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.
Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy
http://aimlab.cs.uoregon.edu/NEMO/web/
THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. NIH funded project to create EEG and MEG ontologies and ontology based tools. These resources will be used to support representation, classification, and meta-analysis of brain electromagnetic data. Three pillars of NEMO are: DATA, ONTOLOGY, and DATABASE. NEMO data consist of raw EEG, averaged EEG (ERPs), and ERP data analysis results. NEMO ontologies include concepts related to ERP data (including spatial and temporal features of ERP patterns), data provenance, and cognitive and linguistic paradigms that were used to collect data. NEMO database portal is large repository that stores NEMO consortium data, data analysis results, and data provenance. EEG and MEG ontologies and ontology-based tools to support representation, classification, and meta-analysis of brain electromagnetic data. Raw EEG and ERP data may be uploaded to the NEMO FTP site., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Neural ElectroMagnetic Ontologies (NEMO) Project (RRID:SCR_002001) Copy
http://sourceforge.net/projects/skewer/
Software program for adapter trimming that is specially designed for processing Illumina paired-end sequences.
Proper citation: skewer (RRID:SCR_001151) Copy
https://github.com/princelab/mspire-simulator
A free, open-source shotgun proteomic simulator that goes beyond previous simulation attempts by generating LC-MS features with realistic m/z and intensity variance along with other noise components.
Proper citation: Mspire-Simulator (RRID:SCR_001431) Copy
http://www.scienceexchange.com/facilities/sanford-burnham-medical-research-institute--2
A portal which lists the various labs and facilities that are part of the Sanford-Burnham Medical Research Institute.
Proper citation: Sanford-Burnham Medical Research Institute Labs and Facilities (RRID:SCR_001029) Copy
The mission of the Office of Research on Women's Health (ORWH) is to stimulate and encourage meritorious research on women's health, including the role of sex and gender in health and disease. The priorities signify approaches and areas for which there is a need to stimulate and encourage research on women's health, or sex/gender factors, and the advancement of women in biomedical research careers. These research priorities are not an exclusive list of research areas important to women's health; therefore other innovative or significant research areas should also be considered. The following four overarching themes are important for addressing research on women's health: Lifespan, Sex/Gender Determinants, Health Disparities/Differences and Diversity, ad Interdisciplinary Research. Special Areas of Emphasis - Prevention/Treatment: from basic biological factors, including identifying and validating biomarkers, to risk and its applications to disease prevention, early detection, and treatment. - Sex and Genetics/Pharmacogenomics: genetic, molecular, and cellular basis for action of pharmacologic agents known to have different effects in females than in males. Research on effects of sex as a modifier of gene function and response is under-investigated. Sponsors: This research is funded by the NAtional Institutes of Health.
Proper citation: Office of Research on Womens Health: Reseach (RRID:SCR_001822) Copy
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