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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.

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On page 36 showing 701 ~ 720 out of 1,262 results
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  • RRID:SCR_007551

    This resource has 100+ mentions.

http://www.genomesize.com

Comprehensive catalogue of animal genome size data. Haploid DNA contents (C-values, in picograms) are available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources. Data may be submitted directly to the database or reprints and notifications of new papers may be sent to database curation staff.

Proper citation: Animal Genome Size Database (RRID:SCR_007551) Copy   


  • RRID:SCR_005156

http://sciencecareers.sciencemag.org/

The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships.

Proper citation: Science Careers (RRID:SCR_005156) Copy   


https://docs.airr-community.org/en/stable/miairr/introduction_miairr.html

Checklist of minimally required information that we recommend journals adopt, and that could form requirements for submission to public data repository. AIRR sequencing studies apply high throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). Standards were developed by AIRR Community Minimal Standards Working Group.

Proper citation: Minimal information about Adaptive Immune Receptor Repertoires (RRID:SCR_022596) Copy   


  • RRID:SCR_002948

    This resource has 10+ mentions.

http://www.humanproteinpedia.org/

A community portal for sharing and integration of human protein data that allows research laboratories to contribute and maintain protein annotations. The Human Protein Reference Database (HPRD) integrates data that is deposited along with the existing literature curated information in the context of an individual protein. Data pertaining to post-translational modifications, protein-protein interactions, tissue expression, expression in cell lines, subcellular localization and enzyme substrate relationships can be submitted.

Proper citation: Human Proteinpedia (RRID:SCR_002948) Copy   


http://www.plexdb.org/index.php

PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets.

Proper citation: PLEXdb - Plant Expression Database (RRID:SCR_006963) Copy   


  • RRID:SCR_009428

http://www.geostratsys.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 29,2019. Sedimentary geologic and biostratigraphic data.

Proper citation: GeoStrat (RRID:SCR_009428) Copy   


  • RRID:SCR_007837

    This resource has 1+ mentions.

http://organelledb.lsi.umich.edu/

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

Proper citation: Organelle DB (RRID:SCR_007837) Copy   


  • RRID:SCR_023140

https://www.braincommons.org/

Scalable cloud-based platform for computational discovery designed for the brain health community.The BRAINCommons empowers the global research community by providing access to multi-model data, state-of-the-art tools and a secure interoperable system for data sharing.

Proper citation: BRAIN Commons (RRID:SCR_023140) Copy   


  • RRID:SCR_003219

    This resource has 100+ mentions.

http://www.ncbi.nlm.nih.gov/dbvar/

Structural variation database designed to store data on variant DNA > / = 1 bp in size from all organisms. Associations of defined variants with phenotype information is also provided. Users can browse data containing number of variant cells from each study, and filter studies by organism, study type, method and genomic variant. Organisms include human, mouse, cattle and several additional animals.

Proper citation: dbVar (RRID:SCR_003219) Copy   


  • RRID:SCR_014695

    This resource has 10+ mentions.

https://bio.tools

Community registry of software tools and data resources for life sciences. Tools and data services registry as community effort to document bioinformatics resources. Registry of software and databases, facilitating researchers from across spectrum of biological and biomedical science. When adding tools to registry, information including URL, contact information, resource function, field its relevant in, and its primary publication are required. Development is supported by ELIXIR - the European Infrastructure for Biological Information.

Proper citation: bio.tools (RRID:SCR_014695) Copy   


  • RRID:SCR_003332

    This resource has 50+ mentions.

http://phosphat.uni-hohenheim.de/

Database containing information on Arabidopsis phosphorylation sites which were identified by mass spectrometry in large scale experiments from different research groups. Specific information on the peptide properties as well as on the experimental and analytical context is given. The PhosPhAt service has a built-in plant specific phosphorylation site predictor trained on the experimental dataset for Serine, threonine and tyrosine phosphorylation (pSer, pThr, pTyr). Protein sequences or Arabidopsis AGI gene identifier can be submitted to the predictor. Users and researchers are encouraged to assist in keeping the database current by submitting either published data or unpublished data (MS/MS data required).

Proper citation: PhosPhAt (RRID:SCR_003332) Copy   


  • RRID:SCR_004483

    This resource has 10+ mentions.

http://vamps.mbl.edu/overview.php

A publicly-accessible website to measure and visualize similarities and differences between molecular profiles of complex microbial communities. The project includes visualization tools such as heat maps that simultaneously compare the taxonomic distributions of multiple datasets and 3-D charts of the frequency distributions of 16S rRNA tags. Analytical tools include Chao diversity estimates and rarefaction curves. As a service to the community, researchers have the opportunity to upload their own data to the site for private viewing with the full range of data and analysis tools. Public data can be downloaded for further analysis locally.

Proper citation: VAMPS (RRID:SCR_004483) Copy   


http://cmbn-approd01.uio.no/nesys/

Public neuroscience database providing a collection of published data describing structure and structure-function relationships in one of the largest projection systems of the brain: the cerebro-cerebellar system. It also gives access to a suite of tools that allow the user to visualize and analyze any selected combination of data sets. Contact them if you are interested in contributing data. The overall goal is to improve communication of results and permit re-use of previously published data in new contexts. FACCS is a part of the Rat Brain WorkBench, a new research and development project funded by The Research Council of Norway, the Centre for Molecular Biology and Neuroscience, and the European Union. The project is directed by Jan G. Bjaalie, Centre for Molecular Biology and Neuroscience & Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.

Proper citation: Functional Anatomy of the Cerebro-Cerebellar System (FACCS) (RRID:SCR_001661) Copy   


  • RRID:SCR_010979

    This resource has 10+ mentions.

https://genome.unc.edu/

Database for microarray data storage, retrieval, analysis, and visualization.

Proper citation: UNC Microarray Database (RRID:SCR_010979) Copy   


  • RRID:SCR_001436

    This resource has 1+ mentions.

https://medicine.yale.edu/keck/nida/yped/

Open source system for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED currently handles LCMS, MudPIT, ICAT, iTRAQ, SILAC, 2D Gel and DIGE. The repository contains data sets which have been released for public viewing and downloading by the responsible Primary Investigators. It includes proteomic data generated by the Yale NIDA Neuroproteomics Center (http://medicine.yale.edu/keck/nida/index.aspx). Sample descriptions are compatible with the evolving MIAPE standards.

Proper citation: YPED (RRID:SCR_001436) Copy   


  • RRID:SCR_015535

    This resource has 1000+ mentions.

http://www.massbank.jp/?lang=en

Public repository of mass spectral data which allows users to search similar spectra on a peak-to-peak basis, on a neutral loss-to-neutral loss basis, or by the m/z value and molecular formula, search chemical compounds by substructures, and keyword search chemical compounds

Proper citation: MassBank (RRID:SCR_015535) Copy   


  • RRID:SCR_002755

    This resource has 10+ mentions.

http://www.gabipd.org/

Database that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research.
GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated.
* GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload.

Proper citation: Gabi Primary Database (RRID:SCR_002755) Copy   


  • RRID:SCR_002038

    This resource has 10+ mentions.

http://eyelab.biostr.washington.edu/repos/eyelab_repo/

The Image Repository contains a collection of images produced by the research of John Clark's Eye Lab. Experiments include: Irradiated CP49 KO and wildtype, Hypothesis: CP49 KO mice will be more sensitive to X-irradiation than controls Huntington Mice Cataract ID, Hypothesis: Individuals can be identified by the pattern of their cataract. Alpha-Synuclein Mice, Hypothesis: Mice transgenic for the EGFP-tagged, mutant and WT strains of human alpha-synuclein gene, will provide a model for the testing of drugs on aggregation of the protein. alpha B Crystallin/SPARC DKO, Hypothesis: The absence of the chaperone protein, alpha B-Crystallin, causes a greater intensity and earlier onset in the opacifying effects of an absence of the matricellular protein, SPARC. Survey of SPARC KO and WT Survey of SPARC KO and WT Mice The repository is being built through a collaboration between the University of Washington's Department of Biological Structure, led by John Clark, and the Structural Informatics Group, led by Jim Brinkley. As an aim of the Biomedical Information Sciences Technology Initiative (BISTI), members of the Structural Informatics Group have been talking with biomedical researchers to find out their informatics needs. Tools such as this repository are being created in response to those needs. This web tool allows the researchers to add their images to a repository facilitating the organization and management of their data.

Proper citation: The Eye Lab Image Database (RRID:SCR_002038) Copy   


  • RRID:SCR_007091

    This resource has 1+ mentions.

http://neurodatabase.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 09, 2015. A repository of neurophysiology data conforming to BrainML data models and protocols: BrainML-formatted experimental data submissions are published in searchable, browsable form. Registered users may submit new experiments. The site contains spike trains, voltage time series, and some derived histograms from single cell and multi-unit activity. The database focuses on in vivo somatosensory and visual activity during task performance. This resource contains only a few datasets, but they are of high quality and have been used for reanalysis by several parties. There are three primary interfaces for querying data from this repository: a web-based browse interface, a web-based HTML query form, and a Java web start desktop application. In addition, there is an XML interface useful for direct access by software clients. To download the source code, please read and acknowledge the license agreement.

Proper citation: Neurodatabase.org (RRID:SCR_007091) Copy   


http://sidr-dr.inist.fr/

A searchable public data repository for multi-assay studies in the field of high-throughput biology. Studies are annotated and curated using ontologies and controlled vocabularies according to the recommendations of the OBO foundry (Open Biological and Biomedical Ontologies) and the NCBO bioportal. Each data set is assigned a digital object identifier (DOI) provided by DataCite. In addition, the SIDR team has developed an ISA-XML (ISA-ML) version of the ISA-TAB format and the mapping to the FuGE object model (ISA-TABtoFuGE); these improvements should facilitate further tool integration, including web services. SIDR contributes to the proof-of-concept addressing the critical success factor for data integration. The SIDR team will continue to put in place the building blocks for giving access to interoperable data through a world-wide network of national hubs in the context of the community-based ISA infrastructure.

Proper citation: Standards-based Infrastructure with Distributed Resources (RRID:SCR_004532) Copy   



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