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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.
Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.
Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy
http://locus.jouy.inra.fr/cgi-bin/lgbc/mapping/common/intro2.pl?BASE=goat
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This website contains information about the mapping of the caprine genome. It contains loci list, phenes list, cartography, gene list, and other sequence information about goats. This website contains 731 loci, 271 genes, and 1909 homologue loci on 112 species. It also allows users to summit their own data for Goatmap. ARK-Genomics is not-for-profit and has collaborators from all over the world with an interest in farm animal genomics and genetics. ARK-Genomics was initially set up in 2000 with a grant awarded from the BBSRC IGF (Investigating Gene Function) initiative and from core resources of the Roslin Institute to provide a laboratory for automated analysis of gene expression using state-of-the-art genomic facilities. Since then, ARK-Genomics has expanded considerably, building up considerable expertise and resources.
Proper citation: GoatMap Database (RRID:SCR_008144) Copy
Cellular Open Resource is a Microsoft Windows environment for cellular modeling that is built around CellML (except for reactions and metadata which are not supported). It offers, through CellML, an ''out of the box'' access to a large database of single cell models. COR was among the early adopters of this standard, eventually forming the first publicly available CellML-based modeling and collaboration environment. From the onset, COR was designed to provide an environment that could not only be used by experienced modelers, but also by experimentalists, teachers and students. It therefore tries to combine a user-friendly interface with a computationally efficient numerical engine. In this paper, we introduce the philosophy behind COR, explain its user interface and current functionality, including the editing and running of CellML files, highlight lessons learned from user feedback and problems experienced during the development of COR and conclude by exploring future development potential. Sponsors: This study has been supported by a grant from the UK Biotechnology and Biological Sciences Research Council (BB/E024955/1). Keyword: Cell, Model, Cellular, Modeling, Open resource, Microsoft, Environment, Database, Experimentalist, Teacher, Student, Modeler, Computationally, Development,
Proper citation: Cellular Open Resource (RRID:SCR_008022) Copy
http://web.bioinformatics.cicbiogune.es/AM/AnnotationModules.php
A tool for finding significant combinations of multisource annotations in gene lists.
Proper citation: Annotation-Modules (RRID:SCR_008025) Copy
Lab interested in understanding how neuronal circuitries of the brain support its cognitive capacities. Its goal is to provide rational, mechanistic explanations of cognitive functions at a descriptive level. In the lab''s view, the most promising area of cognitive faculties for scientific inquiry is memory, since it is a well-circumscribed term, can be studied in animals and substantial knowledge has accumulated on the molecular mechanisms of synaptic plasticity. Available software: * NeuroScope: NeuroScope can display local field potentials (EEG), neuronal spikes, behavioral events, as well as the position of the animal in the environment. It also features limited editing capabilities. * Klusters: Klusters is a powerful and easy-to-use cluster cutting application designed to help neurophysiologists sort action potentials from multiple neurons on groups of electrodes (e.g., tetrodes or multisite silicon probes). * KlustaKwik: KlustaKwik is a program for automatic cluster analysis, specifically designed to run fast on large data sets. * MATLAB m-files: A selection of MATLAB files developed in the lab., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Buzsaki Lab (RRID:SCR_008020) Copy
http://www.sanger.ac.uk/Projects/Microbes/
This website includes a list of projects that the Sanger Institute is currently working on or completed. All projects consist of the genomic sequencing of different bacteria. Each description of the bacteria includes its classification, a description, and the types of diseases that the bacteria is likely to cause. The Sanger Institute bacterial sequencing effort is concentrated on pathogens and model organisms. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing users to search the sequences with their own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing you to search the sequences with your own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. The primary sequence viewer and annotation tool, Artemis is available for download. This is a portable Java program which is used extensively within the Microbial Genomes group for the analysis and annotation of sequence data from cosmids to whole genomes. The Artemis Comparison Tool (ACT) is also useful for interactive viewing of the comparisons between large and small sequences.
Proper citation: Bacterial Genomes (RRID:SCR_008141) Copy
http://purl.bioontology.org/ontology/SOY
Growth, trait and development ontology for soybean
Proper citation: Soy Ontology (RRID:SCR_007847) Copy
Database that provides human protein interaction information and integrated interaction and also finds proteins from databases that can potentially react with proteins submitted by users. The human protein interaction information was pre-computed by a statistical method from existing structural and experimental data, while the integrated human protein interactions are derived from BIND, DIP and HPRD. A score composed of three parts is assigned to the predicted interaction data, and those interactions with high scores were found reliable. HPID allows the user to use the protein IDs in EMBL, Ensembl, MIM, RefSeq, HPRD and NCBI to search protein interactions of interest. A set of web-based software tools has also been developed so that users can visualize and analyze protein interaction networks.
Proper citation: HPID - Human Protein Interaction database (RRID:SCR_007724) Copy
http://genome.wustl.edu/projects/detail/human-gut-microbiome/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2022. Human Gut Microbiome Initiative (HGMI) seeks to provide simply annotated, deep draft genome sequences for 100 cultured representatives of the phylogenetic diversity documented by 16S rRNA surveys of the human gut microbiota. Humans are supra-organisms, composed of 10 times more microbial cells than human cells. Therefore, it seems appropriate to consider ourselves as a composite of many species - human, bacterial, and archaeal - and our genome as an amalgamation of human genes and the genes in ''our'' microbial genomes (''microbiome''). In the same sense, our metabolome can be considered to be a synthesis of co-evolved human and microbial traits. The total number of genes present in the human microbiome likely exceeds the number of our H. sapiens genes by orders of magnitude. Thus, without an understanding of our microbiota and microbiome, it not possible to obtain a complete picture of our genetic diversity and of our normal physiology. Our intestine is home to our largest collections of microbes: bacterial densities in the colon (up to 1 trillion cells/ml of luminal contents) are the highest recorded for any known ecosystem. The vast majority of phylogenetic types in the distal gut microbiota belong to just two divisions (phyla) of the domain Bacteria - the Bacteroidetes and the Firmicutes. Members of eight other divisions have also been identified using culture-independent 16S rRNA gene-based surveys. Metagenomic studies of complex microbial communities residing in our various body habitats are limited by the availability of suitable reference genomes for confident assignment of short sequence reads generated by highly parallel DNA sequencers, and by knowledge of the professions (niches) of community members. Therefore, HGMI, which represents a collaboration between Washington University''s Genome Center and its Center for Genome Sciences, seeks to provide simply annotated, deep draft genome sequences for 100 cultured representatives of the phylogenetic diversity documented by 16S rRNA surveys of the human gut microbiota.
Proper citation: Human Gut Microbiome Initiative (RRID:SCR_008137) Copy
A website which provides in-depth fact sheets on aspects of dementia and dementia care. It provides information on member organizations in each state, support and respite services as well as counseling and education available through Alzheimer's Australia. This organization's vision is for a society committed to the prevention of dementia, while valuing and supporting people living with dementia. Alzheimer's Australia manages a wide range of innovative National Programs which provide information, support, counseling, training and education to people with dementia, their families and carers as well as to professionals working in the dementia field.
Proper citation: Alzheimer's Australia: Living with Dementia (RRID:SCR_008015) Copy
https://www.ncbi.nlm.nih.gov/genbank/dbest/
Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms.
Proper citation: dbEST (RRID:SCR_008132) Copy
UK’s national facility for mouse genetics and use of mouse models for preclinical study of human disease.Offers services to researchers around the world. Services include free archiving of mouse lines to protect them for future use, distribution of mouse lines from the Archive, breeding and phenotyping of genetically altered mice, and genome engineering services to generate new mouse models.Offers archiving and distribution of mouse lines to safeguard germplasm collected from unique strains and make it readily available to the scientific community.
Proper citation: Medical Research Council Harwell: An International Centre for Mouse Genetics (RRID:SCR_008013) Copy
http://www-bird.jst.go.jp/index_e.html
BIRD''s mission is to aid the progress of bioinformatics and promote creation of new biology, which has computational, deductive, predictive, and theoretical features. (most of this site is in Japanese) To carry out its responsibilities, BIRD: * Promotes appropriate development of bioinformatics research and development, such as what kinds of databases and analysis software should be developed and what kind of computer facilities are needed for that development. * Maintains the computer environment and network and functions as a funding agency to further promotion plans. * Develops basic databases: genome sequence database, protein 3D structure database, gene expression profile database, molecular interaction database, etc. * Conducts and coordinates integration, enhancement, and standardization of the basic databases. * Develops computing tools for analyzing various kinds of biological and experimental data, data mining from databases, computer simulation of living systems and so on. * Develops ontologies necessary for data and knowledge description of databases storing biological functions and integration of the basic databases. * Conducts and coordinates research and development of innovative and creative technologies and theories which move toward understanding life as an information system, especially approaches by collaboration of computer scientists and experimental scientists. * Provides computer facilities for developing databases and software and making them publicly available. * Sets up training courses for teaching utilization of databases and tools for novices in bioinformatics and sponsors scientific meetings. * Provides community space with high performance computing facilities where innovative ideas are cultivated by free discussion and "trial and error" with the computer in order to promote development of young scientists who will create new biological discoveries based on bioinfomatics and become leaders in the field.
Proper citation: BIRD - Bio Info R and D (RRID:SCR_008010) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.
Proper citation: T1DBase (RRID:SCR_007959) Copy
A professional organization focused on advancing neurosurgery by providing members with the educational and career development opportunities. They have an annual meeting and offer CME opportunities. The Congress of Neurological Surgeons seeks to improve the quality of healthcare through: * The development of educational programs that convey knowledge, enhance self-directed learning and improve patient outcomes. * Advancing the science of medical education. * Promoting original inquiry and the exchange of clinical and scientific evidence. * Public advocacy for the enhancement of quality, safety and access to neurosurgical care. The Congress of Neurological Surgeons seeks to advance the profession of neurosurgery through: * Refining neurosurgical practice based on evidence. * Promoting volunteerism and leadership development within our specialty. * Development of programs to promote safety, quality and efficiency in practice for domestic and international members.
Proper citation: Congress of Neurological Surgeons (RRID:SCR_007993) Copy
http://cagt.bu.edu/page/PRECISE_about
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Database of interactions between amino acid residues of enzyme and its ligands. Provides summary of interactions between amino acid residues of enzyme and its various ligands including substrate and transition state analogues, cofactors, inhibitors, and products., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PRECISE (RRID:SCR_007874) Copy
http://biq-analyzer-ht.bioinf.mpi-inf.mpg.de/
Software that currently allows to process an amount of bisulfite sequencing reads obtained in one or several bisulfite sequencing experiments.
Proper citation: BiQAnalyzer HT (RRID:SCR_008045) Copy
This is a blog about post genomic knowledge. The website''s goal is to make public datasets from the bioinformatics community available in RDF format via standard SPARQL endpoints.
Proper citation: Bio2RDF atlas of post genomic knowledge (RRID:SCR_007991) Copy
Center focused on understanding human health problems, including infectious diseases that require the use of nonhuman primates to develop diagnostics, therapeutics and preventive strategies. Primary research interests include developing vaccines, treatments and diagnostic tools for infectious diseases such as AIDS, tuberculosis, CMV, COVID-19, Lyme disease, and malaria. TNPRC has both biosafety level 2 and biosafety level 3 laboratories facilities to accommodate various research needs, and is the only National Primate Research Center with Regional Biosafety Laboratory.
Proper citation: Tulane National Biomedical Research Center (RRID:SCR_008167) Copy
http://www.interaction-proteome.org/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 28, 2013. (URL is no longer valid) A platform for high-throughput proteomic analysis. Major objectives of IPP include the establishment of a broadly applicable platform of routine methods for the analysis of protein interaction networks in bio-medical research. A multidisciplinary approach will address; * their validation by cell biological, biochemical and biophysical methods. * their collection in a new type of public database. * their exploitation and use for in silico simulations of protein-interaction networks. The innovations generated in IPP will provide the basis for an efficient analysis and systems modeling of fundamental biological processes in health and disease. It will develop novel technology, including a high-end mass spectrometer with extremely large dynamic range, high-density peptide arrays, and improved visualization technology for light and electron microscopy. Additionally, the novel technologies will be validated with selected model systems of high relevance to medicine and biotechnology. Extensive bioinformatics support is a key element in the project to cope with the massive increase in experimental data on protein interactions obtained using the novel technologies. In particular, the efficient integration of disparate data sets represents a key challenge in proteomics and functional genomics. Therefore, the consortium includes the creator of the only European protein-interactions database, MINT. The multi-disciplinary efforts required in the scientific program of IPP are organized into four sub-projects (SP): * SP1: Tools for interaction analysis - SP1 is dedicated to the development of innovative proteomics technology to map protein-interaction networks and their cellular topology for the interaction analyses in SP2 and SP3. * SP2: Identification of interaction partners for protein domains - SP2 will generate (high throughput) data for important protein-protein interactions defined by bioinformatics and biomedical interest and by SP3, utilizing technology developed in SP1. * SP3: Functional analysis of interactions - SP3 focuses on the validation of technologies and tools developed in SP1. It will perform functional analyses of protein-interactions in medically and biochemically relevant prokaryotic and eukaryotic (mammalian) model systems. * SP4: Interactome database and modelling - SP4 provides the required bioinformatics infrastructure for the project, comprising the improvement of the public MINT database for the collection and dissemination of the interactome data; modelling and simulation of protein-interaction networks characterised in SP2 and SP3; and the dissemination of the technology developments to the scientific community.
Proper citation: Interaction Proteome Project (RRID:SCR_008043) Copy
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