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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.
A public resource composed of a collection of databases, computational and experimental resources that relate to the control of gene expression in the grasses, and their relationship with agronomic traits. As knowledge on the interactions of transcription factors (TFs) and cis-regulatory elements in the promoters of the genes that they regulate continues to accumulate, the information is acquired by GRASSIUS, either through contributions by the community, or by literature analysis. The overarching objective of GRASSIUS is to provide a one-stop resource that will facilitate research and communication within the plant community with regards to genome-wide regulation of gene expression processes.
Proper citation: GRASSIUS (RRID:SCR_012999) Copy
http://crdd.osdd.net/servers/virsirnadb/
VIRsiRNAdb is a curated database of experimentally validated viral siRNA / shRNA targeting diverse genes of 42 important human viruses including influenza, SARS and Hepatitis viruses. Submissions are welcome. Currently, the database provides detailed experimental information of 1358 siRNA/shRNA which includes siRNA sequence, virus subtype, target gene, GenBank accession, design algorithm, cell type, test object, test method and efficacy (mostly quantitative efficacies). Further, wherever available, information regarding alternative efficacies of above 300 siRNAs derived from different assays has also been incorporated. The database has facilities like search, advance search (using Boolean operators AND, OR) browsing (with data sorting option), internal linking and external linking to other databases (Pubmed, Genbank, ICTV). Additionally useful siRNA analysis tools are also provided e.g. siTarAlign for aligning the siRNA sequence with reference viral genomes or user defined sequences. virsiRNAdb would prove useful for RNAi researchers especially in siRNA based antiviral therapeutics development.
Proper citation: VIRsiRNAdb (RRID:SCR_006108) Copy
http://www.chem.qmul.ac.uk/iubmb/enzyme/
Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzymes by the reactions they catalyze. Also included are links to individual documents and advice is provided on how to suggest new enzymes for listing, or correction of existing entries. The common names of all listed enzymes are listed, along with their EC numbers. Where an enzyme has been deleted or transferred to another EC number, this information is also indicated. Each list is linked to either separate entries for each entry or to files with up to 50 enzymes in each file. A start has been made in showing the pathways in which enzymes participate. For other enzymes a glossary entry has been added which may be just a systematic name or a link to a graphic representation. The glossary from Enzyme Nomenclature, 1992 may also be consulted. This has been updated with subsequent glossary entries. Each enzyme entry has links to other databases. Enzyme Subclasses provide links to a list of sub-subclasses which in turn list the enzymes linked to separate files for each enzyme, or to a list as part of a file with up to 50 enzymes per file.
Proper citation: Enzyme Nomenclature (RRID:SCR_006583) Copy
Silhouette images of animals, plants, and other life forms, available for reuse. Database stores reusable silhouette images and phylogenetic taxonomy of all organisms. Each image is associated with one or more taxonomic names and indicates roughly what ancestral member of each taxon looked like.
Proper citation: PhyloPic (RRID:SCR_019139) Copy
Agency that produces evidence to make health care safer, higher quality, more accessible, equitable, and affordable. Funding opportunities, grants, and a large collection of longitudinal hospital care data in the United States including the Systematic Review Data Repository and data sources on healthcare cost, quality, and accessibility, emergency room visits, hospitalization, and medical insurance are available. It works within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used.
Proper citation: Agency for Healthcare Research and Quality (RRID:SCR_003604) Copy
http://www.nia.nih.gov/research/dgcg/clinical-research-study-investigators-toolbox
The purpose of the NIA Clinical Research Toolbox is to provide a Web-based information repository for investigators and staff involved in clinical research. The Toolbox contains templates, sample forms, guidelines, regulations and information materials to assist investigators in the development and conduct of high quality clinical research studies.
Proper citation: Clinical Research Study Investigators Toolbox (RRID:SCR_008815) Copy
Project related to auditory behavioral task data collection.Provided high throughput operant conditioning in mouse homecage system was developed by University of Maryland,College Park, scientists.Automated system for training up to hundreds of mice in auditory behavioral task features custom Matlab GUI running on desktop which connects to Raspberry Pi to administer auditory stimuli from USB soundcard and collects auditory data as well as licking data from water spout with commercially available capacitive sensors. Parts list and build instructions are readily available from paper and associated GitHub repository.
Proper citation: ToneBox (RRID:SCR_021548) Copy
http://clipserve.clip.ubc.ca/topfind
An integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases. It lists more than 120,000 N- and C-termini and almost 10,000 cleavages. TopFIND is a resource for comprehensive coverage of protein N- and C-termini discovered by all available in silico, in vitro as well as in vivo methodologies. It makes use of existing knowledge by seamless integration of data from UniProt and MEROPS and provides access to new data from community submission and manual literature curating. It renders modifications of protein termini, such as acetylation and citrulination, easily accessible and searchable and provides the means to identify and analyse extend and distribution of terminal modifications across a protein. The data is presented to the user with a strong emphasis on the relation to curated background information and underlying evidence that led to the observation of a terminus, its modification or proteolytic cleavage. In brief the protein information, its domain structure, protein termini, terminus modifications and proteolytic processing of and by other proteins is listed. All information is accompanied by metadata like its original source, method of identification, confidence measurement or related publication. A positional cross correlation evaluation matches termini and cleavage sites with protein features (such as amino acid variants) and domains to highlight potential effects and dependencies in a unique way. Also, a network view of all proteins showing their functional dependency as protease, substrate or protease inhibitor tied in with protein interactions is provided for the easy evaluation of network wide effects. A powerful yet user friendly filtering mechanism allows the presented data to be filtered based on parameters like methodology used, in vivo relevance, confidence or data source (e.g. limited to a single laboratory or publication). This provides means to assess physiological relevant data and to deduce functional information and hypotheses relevant to the bench scientist. TopFIND PROVIDES: * Integration of protein termini with proteolytic processing and protein features * Displays proteases and substrates within their protease web including detailed evidence information * Fully supports the Human Proteome Project through search by chromosome location CONTRIBUTE * Submit your N- or C-termini datasets * Contribute information on protein cleavages * Provide detailed experimental description, sample information and raw data
Proper citation: TopFIND (RRID:SCR_008918) Copy
https://bdcw.org/MetGENE/index.php
Web tool identifies associations between genes and metabolites that are biosynthesized, metabolized, or transported by proteins coded by genes. Gene centric metabolomics information retrieval tool. Knowledge based, gene centric data aggregator that hierarchically retrieves information about genes, their related pathways, reactions,metabolites, and metabolomic studies from standard data repositories under one dashboard to enable ease of access through centralization of relevant information. Information can be contextualized by filtering along species, anatomy tissue and disease or phenotype.
Proper citation: MetGENE (RRID:SCR_023402) Copy
https://subcellular.humanbrainproject.eu/
Web interface for simulation of biological molecular networks. Web based environment for creation and simulation of reaction-diffusion models integrated with molecular repository. Allows to import, combine and simulate existing models expressed with BNGL and SBML languages. Application is integrated with number of solvers for reaction-diffusion systems of equations.
Proper citation: Subcellular App (RRID:SCR_018790) Copy
Wiki forum providing an extensive catalogue of manually categorized analysis tools, technologies and information about service providers, maintained by the members of the SEQanswers community. * Minimum Information about a high-throughput Sequencing Experiment * Software Hub: The place to add to, edit or browse the software database on SEQwiki. * Service Providers: Browse or edit the list of NGS service facilities. * How-to Hub: Mini reviews for the most used tools broken down by common tasks. * Developers Hub: The place to discuss the development of the SEQwiki site and its associated data. See also publishing SEQ*. * Publications: Publication about SEQwiki and selected citations.
Proper citation: SEQanswers Wiki (RRID:SCR_004810) Copy
http://www.ncbi.nlm.nih.gov/HTGS/
Database of high-throughput genome sequences from large-scale genome sequencing centers, including unfinished and finished sequences. It was created to accommodate a growing need to make unfinished genomic sequence data rapidly available to the scientific community in a coordinated effort among the International Nucleotide Sequence databases, DDBJ, EMBL, and GenBank. Sequences are prepared for submission by using NCBI's software tools Sequin or tbl2asn. Each center has an FTP directory into which new or updated sequence files are placed. Sequence data in this division are available for BLAST homology searches against either the htgs database or the month database, which includes all new submissions for the prior month. Unfinished HTG sequences containing contigs greater than 2 kb are assigned an accession number and deposited in the HTG division. A typical HTG record might consist of all the first-pass sequence data generated from a single cosmid, BAC, YAC, or P1 clone, which together make up more than 2 kb and contain one or more gaps. A single accession number is assigned to this collection of sequences, and each record includes a clear indication of the status (phase 1 or 2) plus a prominent warning that the sequence data are unfinished and may contain errors. The accession number does not change as sequence records are updated; only the most recent version of a HTG record remains in GenBank.
Proper citation: High Throughput Genomic Sequences Division (RRID:SCR_002150) Copy
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
https://protein.mpiib-berlin.mpg.de/cgi-bin/pdbs/2d-page/extern/index.cgi
The Proteome 2D-PAGE Database system for microbial research is a curated database for storing and investigating proteomics data. Software tools are available and for data submission, please contact the Database Curator. Established at the Max Plank Institution for Infection Biology, this system contains four interconnected databases: i.) 2D-PAGE Database: Two dimensional electrophoresis (2-DE) and mass spectrometry of diverse microorganisms and other organisms. This database currently contains 4971 identified spots and 1228 mass peaklists in 44 reference maps representing experiments from 24 different organisms and strains. The data were submitted by 84 Submitters from 24 Institutes and 12 nations. It also contains various software tools that are important in formatting and analyzing gels and mass peaks; software include: *TopSpot: Scanning the gel, editing the spots and saving the information *Fragmentation: Fragmentation of the gel image into sections *MS-Screener: Perl script to compare the similarity of MALDI-PMF peaklists *MS-Screener update: MS-Screener can be used to compare mass spectra (MALDI-MS(/MS) as well as ESI-MS/MS spectra) on the basis of their peak lists (.dta, .pkm, .pkt, or .txt files), to recalibrate mass spectra, to determine and eliminate exogenous contaminant peaks, and to create matrices for cluster analyses. *GelCali: Online calibration of the Mr- and pI-axis of 2-DE gels with mathematical regression methods ii.)Isotope Coded Affinity Tag (ICAT)-LC/MS database: Isotope Coded Affinity Tag (ICAT)-LC/MS data for Mycobacterium tuberculosis strain BCG versus H37Rv. iii.) FUNC_CLASS database: Functional classification of diverse microorganism. This database also integrates genomic, proteomic, and metabolic data. iv.) DIFF database: Presentation of differently regulated proteins obtained by comparative proteomic experiments using computerized gel image analysis.
Proper citation: Proteome 2D-PAGE Database (RRID:SCR_001678) Copy
https://www.med.upenn.edu/ifi/cytofservicecenter.html
CyTOF�enables multi-parametric high-dimensional single�cell analysis�of more than 40 markers per cell, with�minimal background and compensation�issues.�Core�offers variety of�CyTOF-related services including�reagent distribution, consultation,�antibody conjugation, and data acquisition.�
Proper citation: University of Pennsylvania Perelman School of Medicine IFI CyTOF Service Center Core Facility (RRID:SCR_022410) Copy
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
https://cm.jefferson.edu/MINTbase/
Web-based framework that serves the dual-purpose of being content repository for tRFs and tool for interactive exploration of these newly discovered molecules. Framework for interactive exploration of mitochondrial and nuclear tRNA fragments. Can report comparative information on how tRF is distributed across all anticodon/amino acid combinations, provides alignments between tRNA and multiple tRFs with which user can interact, provides details on published studies that reported tRF as expressed.
Proper citation: MINTbase (RRID:SCR_026216) Copy
Group headed by Professor David Jones, and was originally founded as the Joint Research Council funded Bioinformatics Unit within the Department of Computer Science at University College London. Supports the following tools: Protein Structure Prediction Threading (THREADER) Ab initio folding simulations Secondary structure prediction (PSIPRED) Protein disorder prediction (DISOPRED) Protein domain prediction (DomPred) Database of protein disorder (DisoDB) Protein Sequence Analysis Protein function prediction (ffpred) Metsite: Metal binding residue prediction HSPred : Protein-protein interaction characterisation Amino acid substitution matrices Hidden Markov Models (collaboration with N. Goldman, Cambridge, & J. Thorne, NCSU) Genome Analysis Genomic fold recognition (GenTHREADER) Genome annotation using software agents Protein Structure Classification CATH (collaboration with J. Thornton & C. Orengo, UCL Biochemistry) Transmembrane Protein Modelling MEMSAT & MEMSATSVM Folding In Lipid Membranes (FILM) MEMPACK Biological Applications of Data-mining and Machine Learning Techniques Information extraction for biological research (BioRat) Microarray Analysis Data integration for microarray analysis Data visualization Systems Biology Systems biology applied to stem cells Legacy Services (to be retired shortly) Comparison of structure classifications (CATH/SCOP/FSSP) Genomic Threading Database (GTD)
Proper citation: UCL Bioinformatics Group (RRID:SCR_010248) Copy
http://ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/rbc/Final Archive
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23, 2019.BGMUT was database that provided publicly accessible platform for DNA sequences and curated set of blood mutation information. Data Archive are available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/rbc/Final Archive.
Proper citation: Blood Group Antigen Gene Mutation Database (RRID:SCR_002297) Copy
Vivisimo''s mission is to help organizations maximize the business value of their information through innovations in search and discovery technology. Building on its other innovations, Vivisimo was first to offer enterprise social search, which lets enterprise users share their knowledge with coworkers by tagging, ranking, and annotating search results. Vivisimo''s founders first developed new ways to categorize search results as a research project at Carnegie Mellon University''s computer science department. After years of product development and further innovations, Vivisimo today offers Velocitya complete enterprise search platform that unifies access to secure business repositories, presents search results with an unmatched user experience, and enables knowledge sharing across an organization. Velocity is making single-search-box access to wide selections of corporate information a reality at organizations large and small. You can install Velocity in minutes, use its web console to configure access to diverse document, email, database, and web page repositories, and import their access rights so that searchers get just what they''re authorized to see and nothing more. Use the console to spotlight high-value information, package repositories into search tabs, enable clustered results by topic or meta-data, enliven the search results with embedded images, and more, all without custom programmingjust configuration.
Proper citation: Vivisimo Document Clustering (RRID:SCR_008247) Copy
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