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Consortium conducting meta-analyses of genome-wide genetic data for psychiatric disease. Focused on autism, attention-deficit hyperactivity disorder, bipolar disorder, major depressive disorder, schizophrenia, anorexia nervosa (AN), Tourette syndrome (TS), and obsessive-compulsive disorder (OCD). Used to investigate common single nucleotide polymorphisms (SNPs) genotyped on commercial arrays, structural variation (copy number variation) and uncommon or rare genetic variation. To participate you are asked to upload data from your study to central computer used by this consortium. Genetic Cluster Computer serves as data warehouse and analytical platform for this study . When data from your study have been incorporated, account will be provided on central server and access to all GWAS genotypes, phenotypes, and meta-analytic results relevant to deposited data and participation aims. NHGRI GWAS Catalog contains updated information about all GWAS in biomedicine, and is usually excellent starting point to find comprehensive list of studies. Files can be obtained by any PGC member for any disease to which they contributed data. These files can also be obtained by application to NIMH Genetics Repository. Individual-level genotype and phenotype data requires application, material transfer agreement, and informed consent consideration. Some datasets are also in controlled-access dbGaP and Wellcome Trust Case-Control Consortium repositories. PGC members can also receive back cleaned and imputed data and results for samples they contributed to PGC analyses.
Proper citation: Psychiatric Genomics Consortium (RRID:SCR_004495) Copy
http://www.fishbase.org/home.htm
A global species database and encyclopedia of over 32,800 species and subspecies of fishes that is searchable by common name, genus, species, geography, family, ecosystem, references literature, tools, etc. It links to other, related databases such as the Catalog of Fishes, GenBack, and LarvalBase. It is associated with a partner journal, Acta Ichthyologica et Piscatoria. It is available in English, Greek, Spanish, Portuguese, French, Dutch, Italian, and German. Photo and video submissions are welcome. FishBase 2004 is also available on DVD or CD-ROMs with full information on 28,500 species. It comes together with the FishBase 2000 book and can be ordered for 95 US$ including air-mail.
Proper citation: FishBase (RRID:SCR_004376) Copy
http://sourceforge.net/projects/vanator-cvr/
A Perl pipeline utilising a large variety of common alignment, assembly and analysis tools to assess the metagenomic profiles of Illumina deep sequencing samples. The emphasis is on the discovery of novel viruses in clinical and environmental samples.
Proper citation: Vanator (RRID:SCR_004370) Copy
http://www.brainsciencepodcast.com/
Podcast, hosted by Dr. Ginger Campbell, featuring the latest books about neuroscience as well as interviews with leading scientists from around the world. In this podcast, she shares recent discoveries from the world of neuroscience in a way that people of all backgrounds can enjoy. Dr. Campbell is an experienced emergency physician with a long-standing interest in mind-body medicine, the brain, and consciousness. She believes that understanding how the brain works gives us insight into what makes us human. She is also committed to showing how the scientific method has unraveled many long-standing mysteries. Brain Science Transcripts are also available.
Proper citation: Brain Science Podcast (RRID:SCR_004491) Copy
http://www.csd.uwo.ca/~ilie/BOND/
Software program to compute highly specific DNA oligonucleotides, for all the genes that admit unique probes, while running orders of magnitude faster than the existing programs.
Proper citation: Basic OligoNucleotide Design (RRID:SCR_004492) Copy
http://www.uniprot.org/locations/
The subcellular locations in which a protein is found are described in UniProtKB entries with a controlled vocabulary, which includes also membrane topology and orientation terms. You may search in subcellular locations or list them all along with their definitions (490). By default, searching the subcellular locations will look for matches in both name and definition.
Proper citation: UniProtKB Subcellular Locations (RRID:SCR_004373) Copy
https://wiki-bsse.ethz.ch/display/HSC/HelioScan+Home
HelioScan is a versatile control software for microscopes written in the intuitive graphical programming language LabVIEW. It solves a number of problems observed with custom-built image acquisition systems by providing the following features: * Extendability: both hardware components and software functionality are encapsulated in exchangeable, software components. Additional components can be implemented easily and plugged in at run-time. Components can be independently developed, allowing multiple developers to work in parallel. * Flexibility: Components are independently configurable; each component can have an unlimited number of configurations. * Understandability: The LabVIEW code is well-structured, commented and documented. * High speed: The software supports FPGA-based hardware that enables intelligent and extremely fast signal acquisition and generation. FPGA logic can be easily programmed using LabVIEW. * Tailored to in vivo brain imaging: The software is especially suited for 2-photon Calcium imaging, but can in principle be used for any kind of microscopy. The out-of-the-box software supports different imaging modalities (camera, galvanometric scan mirrors, acusto-optic deflectors) and imaging modes (camera video acquisition, intrinsic optical imaging, two-photon frame scan and tilted frame scan, 2D line scan, 3D spiral scan) and can easily be extended to other imaging modalities (e.g., resonance scanners), imaging modes (e.g., 2D and 3D arbitrary line scans) and associated hardware (e.g., stimulation devices). * Open file-format with extensible meta-data schema: HelioScan saves data in the OME-TIFF file format, which contains image data as multipage TIFF and meta-data as human-readable XML in the TIFF description tag according to the OME schema.
Proper citation: HelioScan (RRID:SCR_004494) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. The Catalog of Fishes is the authoritative reference for taxonomic fish names, featuring a searchable on-line database. The Catalog of Fishes covers more than 53,000 species and subspecies, over 10,000 genera and subgenera, and includes in excess of 16,000 bibliographic references. The Catalog of Fishes consists of three hardbound volumes of 900-1000 pages each, along with a CD-ROM. The online database is updated about every 8 weeks and is now about twice the size of the published version. It is one of the oldest and most complete databases for any large animal group. References are over 30,000. Valid species are over 30,000. This work is an essential reference for taxonomists, scientific historians, and for any specialist dealing with fishes. Entries for species, for example, consist of species/subspecies name, genus, author, date, publication, pages, figures, type locality, location of type specimen(s), current status (with references), family/subfamily, and important publication, taxonomic, or nomenclatural notes. Nearly all original descriptions have been examined, and much effort has gone into determining the location of type specimens. The Genera are updated from Eschmeyer''s 1990 Genera of Recent Fishes. Both genera and species are listed in a classification using recent taxonomic schemes. Also included are a lengthy list of museum acronyms, an interpretation of the International Code of Zoological Nomenclature, and Opinions of the International Commission involving fishes.
Proper citation: Catalog of Fishes (RRID:SCR_004408) Copy
A collaboration in which the National Institute on Drug Abuse, treatment researchers, and community-based service providers cooperatively develop, validate, refine, and deliver new treatment options to patients in Community Treatment Programs (CTPs). The partnership between CTPs and academic research leaders aims to achieve the following objectives: * Conducting studies of behavioral, pharmacological, and integrated behavioral and pharmacological treatment interventions of therapeutic effect in rigorous, multisite clinical trials to determine effectiveness across a broad range of community-based treatment settings and diversified patient populations; and * Ensuring the transfer of research results to physicians, clinicians, providers, and patients. The CTN, with its core of CTPs engaging diverse populations, is also designed to provide a platform for other studies, which would be funded under separate research grants. Three important ways to use the CTN are: to conduct ancillary studies in connection with CTN protocols; to utilize CTN Node facilities as a platform for investigations; and for Nodes to serve as home bases for NIH Training Centers and individual researchers who have NIH fellowships or career development awards.
Proper citation: National Drug Abuse Treatment Clinical Trials Network (RRID:SCR_004407) Copy
https://www.hupo.org/human-antibody-initiative/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.The mission of the Human Antibody Initiative (HAI) aims to promote and facilitate the use of antibodies for proteomics research. The initiative consists of two separate activities; (1) the generation of a catalogue of validated antibodies from many different sources and (2) a protein atlas for the expression and localization of human proteins in normal and disease tissue. The two separate activities have as their primary deliverables to generate databases with free public accessibility. The Antibody Resource database (www.antibodypedia.org) is aimed to produce a comprehensive catalogue of validated antibodies towards human proteins. This initiative depends on input from a large number of academic groups and commercial companies. The Protein Atlas initiative (www.proteinatlas.org) is aimed to provide comprehensive and annotated database of high-resolution images showing tissue profiles in normal and cancer tissues. Both databases will be open to the public without restriction (no passwords).
Proper citation: HUPO Antibody Initiative (RRID:SCR_004568) Copy
http://www.brighterideasinc.com/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 17,2021. An Antibody supplier
Proper citation: Brighter Ideas Inc. (RRID:SCR_004689) Copy
http://www-pmr.ch.cam.ac.uk/wiki/Oscar3
OSCAR is software for the semantic annotation of chemistry papers. The modules OPSIN (a name to structure converter) and ChemTok (a tokeniser for chemical text) are also available as standalone libraries. This tool for shallow, chemistry-specific parsing of chemical documents identifies (or attempts to identify): * Chemical names: singular nouns, plurals, verbs etc., also formulae and acronyms, some enzymes and reaction names. * Ontology terms: if you can do it by string-matching, you can get OSCAR to do it. * Chemical data: Spectra, melting/boiling point, yield etc. in experimental sections. In addition, where possible the chemical names that are detected are annotated with structures, either via lookup or name-to-structure parsing (OPSIN), and with identifiers from the chemical ontology ChEBI Current work on OSCAR3 by Peter Corbett focuses on its use in SciBorg, a framework for the deep parsing of chemical text. OSCAR3 also includes the Oscar Server, a Jetty-powered set of servlets. These provide the following services: * Parsing of text/HTML by OSCAR. * Text/InChI/SMILES/SMILES substructues/SMILES similarity search of papers, coupled with keyword and ontology-based search, using Lucene and the CDK. * List of all names found / all names that co-occur with a search term or terms. * Online management of a chemical/stopword lexicon. * Manual editing of SciXML fragments containing named entities, for creating of gold standards and training data. Oscar3 can be found on SourceForge: http://sourceforge.net/projects/oscar3-chem/
Proper citation: Oscar3 (RRID:SCR_004561) Copy
http://www.brainarchitecture.org/mouse-home
An atlas project whose goal is to enerate brainwide maps of inter-regional neural connectivity that specify the inputs and outputs of every brain region, at a "mesoscopic" level of analysis. A 3D injection viewer is used to view the mouse brain. To determine the outputs of a brain region, anterograde tracers are used which are taken up by neurons locally ("the input"), then transported actively down the axons to the "output regions." The whole brain is then sliced thinly, and each slice is digitally imaged. These 2-D images are reconstructed in 3D. The majority of the resulting 3-D brain image is unlabeled. Only the injected region and its output regions have tracer in them, allowing for identification of this small fraction of the connectivity map. This procedure is repeated identically, to account for individual variability. To determine the inputs to the same brain region as above, a retrograde tracer is injected in the same stereotaxic location ("the input"), and the process is repeated. In order to accumulate data from different mice (each of whom has a slightly different brain shape and size), 3-D spatial normalization is performed using registration algorithms. These gigapixel images of whole-brain sections can be zoomed to show individual neurons and their processes, providing a "virtual microscope." Each sampled brain is represented in about 500 images, each image showing an optical section through a 20 micron-thick slice of brain tissue. A multi-resolution viewer permits users to journey through each brain, following the pathways taken through three-dimensional brain space by tracer-labeled neuronal pathways. A key point is that at the mid-range "mesoscopic" scale, the team expects to assemble a picture of connections that are stereotypical and probably genetically determined in a species-specific manner. By dividing the volume of a hemisphere of the mouse brain into 250 equidistant, predefined grid-points, and administering four different kinds of tracer injections at each grid point -- in different animals of the same sex and age a complete wiring diagram that will be stitched together in "shotgun" fashion from the full dataset.
Proper citation: Mouse Brain Architecture Project (RRID:SCR_004683) Copy
http://en.wikibooks.org/wiki/Handbook_of_Genetic_Counseling
The Handbook of Genetic Counseling is a wikibook designed as an introduction to the discipline and practice of genetic counseling. The text provides an introduction to genetic counseling as a clinical practice and includes sample counseling outlines and letters for students of genetic counseling. Additional outline and letter examples are highly encouraged. Wikibooks contains books on many medical topics; however, no warranty whatsoever is made that any of the books are accurate.
Proper citation: Handbook of Genetic Counseling (RRID:SCR_004564) Copy
http://metagenomics.atc.tcs.com/binning/SOrt-ITEMS/
Sequence orthology based software for improved taxonomic estimation of metagenomic sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SOrt-ITEMS (RRID:SCR_004716) Copy
Resource for the storage, retrieval and annotation of plant ESTs, with a focus on comparative genomics. PGN comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project. However, it accepts submission from other sources. All data in PGN is directly derived from chromatograms and all original and intermediate data are stored in the database. The current datasets on PGN come from the floral genome project and includes the following species: Acorus americanus, Amborella trichopoda, Asparagus officinalis, Cucumis sativus, Eschscholzia californica, Eschscholzia californica, Illicium parviflorum, Ipomopsis aggregata, Liriodendron tulipifera, Mesembryanthemum crystallinum, Mimulus guttatus, Nuphar advena, Papaver somniferum, Persea americana, Prymnesium parvum, Ribes americanum, Saruma henryi, Stenogyne rugosa, Vaccinium corymbosa, Welwitschia mirabilis, Yucca filamentosa, Zamia fischeri. For functional annotation, blast is used to compare find the best match of each unigene sequence to in the Genbank NR database, and the in complete coding sequences from Arabidopsis. These annotations are stored in the database and serve as the primary source of annotation. The annotation framework will be extended to Gene Ontology annotations in the future.
Proper citation: PGN (RRID:SCR_004559) Copy
http://en.wikibooks.org/wiki/Orthopaedic_Surgery
Orthopaedic Surgery is a collaborative wikibook of orthopedic surgery. *Preface *Chapter 1: Basic Sciences *Chapter 2: Upper Limb *Chapter 3: Foot and Ankle *Chapter 4: Spine *Chapter 5: Hand and Microsurgery *Chapter 6: Pediatric Orthopedics *Chapter 7: Adult Reconstruction *Chapter 8: Sports Medicine *Chapter 9: Musculoskeletal Tumors *Chapter 10: Injury *Chapter 11: Surgical Procedures *Chapter 12: Rehabilitation *Chapter 13: Practice
Proper citation: Orthopaedic Surgery (RRID:SCR_004715) Copy
Located in the city of Galway in Ireland.
Proper citation: National University of Ireland; Galway; Ireland (RRID:SCR_004677) Copy
A multiple-sample, technology-aware SNP and indel caller.
Proper citation: UnifiedGenotyper (RRID:SCR_004710) Copy
http://www.ncbi.nlm.nih.gov/Structure/cblast/cblast.cgi?
The NCBI Related Structures tool allows you to find 3D structures from the Molecular Modeling Database (MMDB) that are similar in sequence to a query protein. Although the query protein may not yet have a resolved structure, the 3D shape of a similar protein sequence can shed light on the putative shape and biological function of the query protein. CBLAST is a tool that compares a query protein sequence against all protein sequences from resolved 3D structures by using protein BLAST against the PDB data set. The purpose is to find representative 3D structures for the query and/or its homologs, as available. Each record in the Entrez Protein database has been CBLAST''ed and the search results are available as Related Structures in the Links menu of Entrez Protein records. You can also enter a protein query sequence directly into the CBLAST search page in order to find its sequence-similar 3D structure records. The search results can be viewed in Cn3D (hence the name CBLAST), which displays an alignment of the query protein to the related structure''s sequence and allows you to interactively examine the sequence-structure relationship.
Proper citation: CBLAST (RRID:SCR_004711) Copy
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