Tools   Select Another Resource Report Type

https://princessmargaretcancerbiobank.com/

Core offers biobanking services and diverse inventory of biospecimens in the field of Oncology. Offers prospective protocol specific banking tailored to your research needs, including patient eligibility, screening, consenting, biospecimen procurement, handling, and processing, clinical data annotation, short and long-term sample storage, and shipping.

Proper citation: University Health Network Princess Margaret Cancer Biobank Core Facility (RRID:SCR_027522) Copy   

•   Source: SciCrunch Registry
  

http://www.isi.edu/projects/bioscholar/overview

Knowledge management and engineering system software for experimental biomedical scientists permitting a single scientific worker (at the level of a graduate student or postdoctoral worker) to design, construct and manage a shared knowledge repository for a research group derived on a local store of PDF files. Usability is especially emphasized within a laboratory so that this software could provide support to experimental scientists attempting to construct a personalized representation of their own knowledge on a medium scale. The BioScholar system uses a graphical interface to create experimental designs based on the experimental variables in the system. The design is then analyzed to construct a tabular input form based on the data flow. They call this methodology "Knowledge Engineering from Experimental Design" or "KEfED". The approach is domain-independent but domain-specific modules reasoning can be constructed to generate interpretations from the observational data represented in the KEfED model. The application is available for download as platform-specific installers including Linux, Unix, Mac OS, and Windows. The installer will install an application that will run the BioScholar server. This server uses Jetty as its integrated web server.

Proper citation: Bioscholar (RRID:SCR_001380) Copy   

•   Source: SciCrunch Registry
  

http://pmd.ddbj.nig.ac.jp/

It provides information on natural and artificial mutants, including random and site-directed ones, for all proteins except members of the globin and immunoglobulin families. The PMD is based on literature, and each entry in the database corresponds to one article which may describe one, several or a number of protein mutants. Each database entry is identified by a serial number and is defined as either natural or artificial, depending on the type of the mutation. For each entry the following are recorded : JOURNAL, TITLE, CROSS-REFERENCE, PROTEIN, N-TERMINAL, CHANGE, FUNCTION, STRUCTURE, STABILITY, etc. CROSS-REFERENCE indicates the code names of the protein given in other databases such as Protein Identification Resources (2). N-TERMINAL shows the N-terminal sequence of five amino acids which may help to show the unambiguous numbering of th e sequence. CHANGE indicates the position and kind of mutations, such as amino acid substitution, insertion and deletion, denoted with a specific notation. Any functional or structural features (FUNCTION, STRUCTURE, STABILITY,etc) observed in the mutant are described immediately after ''CHANGE''. Relative differences in activity and/or stability, in comparison with the wild-type protein, are indicated with symbols (- -),(-),(=),(+) or (+ +). Complete loss of activity is denoted as (0). Data Submission A data submission system was newly prepared in the PMD. We welcome the authors of articles published in academic journals to submit their own mutant data to the PMD. After checking the contents, we will register the data with a unique accession number.

Proper citation: Protein Mutant Database (RRID:SCR_007878) Copy   

•   Source: SciCrunch Registry
  

http://tbestdb.bcm.umontreal.ca/searches/welcome.php

The taxonomically broad EST database TBestDB serves as a repository for EST data from a wide range of eukaryotes, many of which have previously not been thoroughly investigated. Users can search by annotated name, EC#, and view datasets that contain classification hierarchies for pathways, for reactions (the enzyme nomenclature system), for compounds, and for genes. Most of the data contained in TBestDB has been generated by the labs of the Protist EST Program located in six universities across Canada.

Proper citation: Taxonomically Broad EST Database (RRID:SCR_007962) Copy   

•   Source: SciCrunch Registry
  

https://www.idigbio.org

iDigBio is the National Resource for Advancing Digitization of Biodiversity Collections (ADBC) funded by the National Science Foundation. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.

Proper citation: Integrated Digitized Biocollections (RRID:SCR_014336) Copy   

•   Source: SciCrunch Registry
  

https://www.nationaljewish.org/science-research/research-support/biobanks/integrated-bioinformation-specimen-center

Collects and stores the data, tissue, fluids and DNA of patients. Leverages clinical phenotyping by our physicians, our internally developed research database, a pathology image database and our biorepository, we can offer our investigators and partners highly characterized information and corresponding samples of respiratory and immunologic disease.

Proper citation: National Jewish Health Integrated Bioinformation and Specimen Center Biobank Core Facility (RRID:SCR_029218) Copy   

•   Source: SciCrunch Registry
  

https://www.dtmi.duke.edu/for-researchers/technology-cores/duke-biobank

The Duke Biobank is an institutional resource that combines well-annotated clinical data with a standardized, regulation compliant, cost efficient repository for both fluid and tissue, connected via information systems to a large scale, long-term biobank in Kannapolis, in order to foster breakthroughs in research; while ensuring the strictest adherence to ethical standards and regulations. Our goal is to work with investigators to maintain biorepository collections which are in compliance with all relevant local, regional and national and IRB biobanking standards. Capabilities * Provide expert consultation in planning and design of biobanking programs * Access, process, aliquot, store and distribute a wide array of liquid and tissue biological samples * Maintain informatics capabilities to accurately and efficiently track samples and link to clinical and laboratory assay data * Use the Duke Biobanking Guidelines document (in development) as guidance on scientific, ethical/legal, and operational to ensure quality and standardization of biospecimen collection * Minimize redundancy of infrastructure, as appropriate, across Duke Medicine. Duke University offers both on- and off-campus options for investigators seeking biobanking services. Our biobanking facilities are: * The Center for Human Genetics (CHG). Serves as the primary on-campus biobank for liquid sample storage for Duke Medicine, and as a portal between Duke and the LabCorp Biobank. * Duke Hospital South Tissue Bank. Serves as a sample portal for the Duke Biobank, and as the primary facility for tissue storage for Duke Medicine. ** DCCC Tissue & Blood Procurement ** IGSP Biospecimen Repository * LabCorp Biorepository. Located in Kannapolis, NC, this is the preferred storage center for large-scale, infrequently accessed sample collections

Proper citation: Duke Biobank (RRID:SCR_004304) Copy   

•   Source: SciCrunch Registry
  

http://cyclonet.biouml.org/

Cyclonet database is a database on cell cycle regulation in eukaryotes. The database contains information about cell cycle specific genes, proteins, protein complexes and their interactions, diagrams of cell cycle regulation for vertebrates, models of cell cycle and results of their analyses, microarray data, literature references and other related resources. The data are compiled from different databases and from literature annotation. Known cell-cycle models are imported from SBML and CellML model repositories and developed by ourselves.

Proper citation: Cyclonet (RRID:SCR_007616) Copy   

•   Source: SciCrunch Registry
  

https://www.plasticsurgeryhome.in

Website serves as digital resource for plastic surgery professionals. Educational and resource platform dedicated to plastic surgeons, trainees, and researchers. Provides access to curated content, including links to major plastic surgery societies, journal repositories, clinical resources, and upcoming events. Serves as comprehensive hub for continuous professional development and collaboration in the field of plastic surgery.

Proper citation: Plastic Surgery Home (RRID:SCR_026487) Copy   

•   Source: SciCrunch Registry
  

http://ccr.coriell.org/Sections/Collections/AUTISM/?SsId=13

A genetic resource to support the study of autism in families where more than one child is affected or where one child is affected and one demonstrates another significant and related developmental disorder. An open bank of anonymously collected materials documented by a detailed clinical diagnosis forms the basis of this growing database of information about the disease. The Autism Resource is housed at the Coriell Institute for Medical Research in New Jersey, which holds the world''s largest collection of human cells for use in genetic research. The Autism Research Resource has been built through a full collaboration between Coriell and clinical services at the UMDNJ-Robert Wood Johnson Medical school, New Brunswick campus, which provides clinical information and diagnosis. All clinical interviews were conducted face-to-face. Further multiplex families will be added to the resource in a continuing program of diagnosis and Repository development. The Autism Research Resource includes cell lines and DNA from families with more than one child who meets criteria for autistic disorder. An additional group of families is included in which monozygotic twins meet all criteria for autistic disorder. Also included in this resource, however, are families in which one child meets the criteria for autistic disorder while another child displays behavior with a broader phenotype of falling within the spectrum of autistic disorder. A small number of multiplex families is included in which one child meets all criteria for autistic disorder and a second has a behavioral disorder falling outside the autism spectrum. Pedigrees are provided for each family. Where clinical statements are noted for individuals other than the affected children and parent(s), these should be judged as reported. All family relationships have been verified by confirming the molecular identities, established using a panel of six microsatellite markers.

Proper citation: Autism Research Resource (RRID:SCR_004623) Copy   

•   Source: SciCrunch Registry
  

http://scicrunch.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 29,2019.

Locus-specific database listing variants of the SCN1A gene. To provide a continued platform that is in keeping with the latest data, this web site has been set up where all information can be accessed and downloaded. A Mutation submission form encourages data submissions. Over the past ten years, mutations in voltage-gated sodium channels (Navs) have become closely associated with inheritable forms of epilepsy. One isoform in particular, Nav1.1 (gene symbol SCN1A), appears to be a superculprit, with virtually hundreds of mutations. The associated phenotypes range from benign febrile seizures to extremely serious conditions like Dravet syndrome (a.k.a. severe myoclonic epilepsy in infancy or SMEI). Despite the wealth of information, mutational analyses are cumbersome, owing to inconsistencies among the Nav1.1 sequences to which different research groups refer. Splicing variability is the core problem: Nav1.1 exists in the brain in 3 different isoforms: full-length (2009 AA) as well as two shorter versions that lack 11 or 28 amino acids compared to the former. This online database ?????? SCN1A infobase ?????? establishes a standardized nomenclature for Nav1.1 variants so as to provide a platform from which future mutation analyses can be started without up-front data normalization.

Proper citation: scn1a (RRID:SCR_006987) Copy   

•   Source: SciCrunch Registry
  

http://sncid.stanleyresearch.org/

A database of 1749 neuropathological markers measured in 12 different brain regions from 60 brains in the Consortium Collection from the Stanley Medical Research Institute combined with microarray data and statistical tools. Fifteen brains each are from patients diagnosed with schizophrenia, bipolar disorder, or major depression, and unaffected controls. The four groups are matched by age, sex, race, postmortem interval, pH, side of brain, and mRNA quality. A Repository of raw data is also included. Users must register for access.

Proper citation: Stanley Neuropathology Consortium Integrative Database (RRID:SCR_002749) Copy   

•   Source: SciCrunch Registry
  

http://projects.tcag.ca/lafora/

The Lafora database is a repository of information related to progressive myoclonus epilepsy mutation and polymorphism data. Users may view all mutations in the database(Mutations of EPM2A and NHLRC1(EPM2B)), click on individual exons for mutations, or search the database by keyword. Nucleotide and amino acids positions were assigned based on the GenBank reference sequence NM_005670 for EPM2A and NM_198586 for EPM2B. The data can be viewed using the XRT Table Browser, and where possible, links to external sources such as NCBI, PubMed are provided. At this time, the database is under development. The BioXRT (Cross-Referenced Tables) Table Browser is a highly configurable tool for viewing complex, table based information. The tables can be displayed using pre-set options, or customized to view arbitrary subsets of rows, columns or other features.

Proper citation: Lafora Progressive Myoclonus Epilepsy Mutation and Polymorphism Database (RRID:SCR_002919) Copy   

•   Source: SciCrunch Registry
  

http://www.geisha.arizona.edu/geisha/

Online repository for chicken in situ hybridization information. This site presents whole mount in situ hybridization images and corresponding probe and genomic information for genes expressed in chicken embryos in Hamburger Hamilton stages 1-25 (0.5-5 days). The GEISHA project began in 1998 to investigate using high throughput whole mount in situ hybridization to identify novel, differentially expressed genes in chicken embryos. An initial expression screen of approximately 900 genes demonstrated feasibility of the approach, and also highlighted the need for a centralized repository of in situ hybridization expression data. Objectives: The goals of the GEISHA project are to obtain whole mount in situ hybridization expression information for all differentially expressed genes in the chicken embryo between HH stages 1-25, to integrate expression data with the chicken genome browsers, and to offer this information through a user-friendly graphical user interface. In situ hybridization images are obtained from three sources: 1. In house high throughput in situ hybridization screening: cDNAs obtained from several embryonic cDNA libraries or from EST repositories are screened for expression using high throughput in situ hybridization approaches. 2. Literature curation: Agreements with journals permit posting of published in situ hybridization images and related information on the GEISHA site. 3. Unpublished in situ hybridization information from other laboratories: laboratories generally publish only a small fraction of their in situ hybridization data. High quality images for which probe identity can be verified are welcome additions to GEISHA.

Proper citation: GEISHA - Gallus Expression in Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database (RRID:SCR_007440) Copy   

•   Source: SciCrunch Registry
  

http://www.ntnu.edu/hunt

International biobank storing whole blood and DNA from 200,000 individuals, serum and plasma samples from more than 100,000 individuals as well as urine, RNA tubes, cells, buffy coat and Na-heparin tubes for environmental analysis for as many as 50,000 individuals. All bio-specimens from the HUNT surveys are collected, processed and stored at the HUNT Biobank in Levanger. The National CONOR Biobank is located on the same site, where it serves as a central research repository for DNA samples from all the largest Norwegian health surveys. These make up the Cohorts of Norway (CONOR), which include samples from more than 200,000 individuals. * HUNT 1 was carried out in 1984-1986 to establish the health history of 75,000 people. * HUNT 2, carried out in 1995-1997, focused on the evolution of the health history of 74,000 people. This included blood sample collection from 65,000 people. The data that accompany biospecimens in the biobank are stored in secured computer systems that run complex database management and analysis software. * HUNT 3 was completed in June 2008. 93,210 people were invited to participate in the study, and as of the 6th of June, 2008, 48,289 people participated (52% participation rate). The data, collected by means of questionnaires, interviews, clinical examinations and collection of blood and urine samples, will be ready for analysis in January 2009. * Young-HUNT is the adolescent part of HUNT including participants aged 13-19 years. Young-HUNT1 (1995-97) was conducted as part of HUNT2, 9141 adolescents participated (90% response rate). Young-HUNT2 (2000-01) was a follow-up study of Young-HUNT1, 2400 students participated in both studies (77% of the invited). Young-HUNT3 (2006-08) was a new cross-sectional study as part of HUNT3. This time 8677 adolescents participated (87% response rate). Data collection included self-reported questionnaires, structured interviews, clinical measurements and, in Young-HUNT3, buccal smears. All institutions with research expertise can apply for access to analyze HUNT data. Projects must have recommendations from The Regional Committee for Medical Research in Norway (REK) and be registered with The Norwegian Social Science Data Services (NSD).

Proper citation: Hunt Biobank (RRID:SCR_010626) Copy   

•   Source: SciCrunch Registry
  

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://neuinfo.org

Framework for identifying, locating, relating, accessing, integrating, and analyzing information from neuroscience research. Users can search for and add neuroscience-related resources at NIF portal and receive and RRID to track and cite resources within scientific manuscripts.

Proper citation: Neuroscience Information Framework (RRID:SCR_002894) Copy   

•   Source: SciCrunch Registry
  

http://www.crystallography.net/

Database of crystal structures of organic, inorganic, metal-organic compounds and minerals, excluding biopolymers. It currently contains ~291204 entries (July 2014) in crystallographic information file format, with nearly full coverage of the International Union of Crystallography publications, and is growing in size and quality. Deposit your data: An interface allows you to upload, validate and edit CIF files before submitting them for deposition.

Proper citation: Crystallography Open Database (COD) (RRID:SCR_005874) Copy   

•   Source: SciCrunch Registry
  

http://www.ebi.ac.uk/efo/

An application focused ontology modelling the experimental factors in ArrayExpress and Gene Expression Atlas. It has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology describes cross-product classes from reference ontologies in area such as disease, cell line, cell type and anatomy. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. This is achieved using a combination of automated and manual curation steps and the use of a phonetic matching algorithm. The ontology is evaluated with use cases from the ArrayExpress repository and ArrayExpress Atlas. You may also browse the EFO in the NCBO Bioportal. Term submissions are welcome.

Proper citation: Experimental Factor Ontology (RRID:SCR_003574) Copy   

•   Source: SciCrunch Registry
  

http://pfs.nus.edu.sg/(S(dyrcwejlfws33vxe23zlvrf3))/CopyRightNotice.aspx?ReturnURL=%2fQueryInterface_V5_2.aspx

Search engine integrating various bio-informatic resources and algorithims to produce a one-stop resource for biologists to identify potentially functional SNPs. It caters to different groups of scientists interested in SNPs including those working in the following areas: * Whole-genome association studies * Gene-based association studies * Designing experiments to address the functionality of specific SNPs * Determining potentially functionally significant SNPs that are in LD with non-pfSNPs of interest. Users may add published SNP functions.

Proper citation: pfSNP (RRID:SCR_002167) Copy   

•   Source: SciCrunch Registry