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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.
http://www.scientificamerican.com/section.cfm?id=bering-in-mind
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Science news and technology updates from Scientific American.
Proper citation: Scientific American Bering in Mind (RRID:SCR_005208) Copy
The SciLogs combine the strengths of both science culture and the medium blog. They provide scientists and lay people with the opportunity to interact in interdisciplinary discussions about science in all its facets: research, applications, ethics, values, politics etc. Good Science is transparent and provides us with new knowledge about the world and ourselves. As an important part of our culture and society, science is never isolated. Informing about new results and recent developments as well as the dialogue with the public are characteristics of good science. Good blogs are personalized, authentic and active. Oftentimes, they provide unique perspectives. Blog posts are serious invitations for dialogue, readers are potential partners, invited to comment and ask the bloggers questions. The SciLogs are not a closed community. Every user is invited to comment, and new bloggers are welcome, too. Please submit your blog or blog idea to [email protected] - and we will check if we fit together.
Proper citation: SciLogs (RRID:SCR_005221) Copy
http://well.blogs.nytimes.com/
The New York Times Well is a blog by Tara Parker-Pope on the latest medical research and societal trends affecting your health. Healthy living doesn''t happen at the doctor''s office. The road to better health is paved with the small decisions we make every day. It''s about the choices we make when we buy groceries, drive our cars and hang out with our kids. Join columnist Tara Parker-Pope as she sifts through medical research and expert opinions for practical advice to help readers take control of their health and live well every day.
Proper citation: New York Times - Well (RRID:SCR_005220) Copy
http://www.ox.ac.uk/media/science_blog/
Read the latest science news and views from Oxford University in the Oxford Science Blog. The blog gives you the inside track on science at Oxford University: the projects, the people and what''s happening behind the scenes. Curated by Pete Wilton, science writer and OU Press Officer.
Proper citation: Oxford Science Blog (RRID:SCR_005218) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-5/search?q=*
A virtual database currently indexing clinical trials databases including EU Clinical Trials Register and Clinicaltrials.gov.
Proper citation: Integrated Clinical Trials (RRID:SCR_005969) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-7/search?q=*
Virtual database currently indexing interaction between genes and diseases from Online Mendelian Inheritance in Man (OMIM) and Comparative Toxicogenomics Database (CTD).
Proper citation: Integrated Gene-Disease Interaction (RRID:SCR_006173) Copy
http://www.wired.com/wiredscience/science-blogs/
Wired Science Blogs is new network of all-star science bloggers.
Proper citation: Wired Science Blogs (RRID:SCR_006479) Copy
http://www.guardian.co.uk/science/neurophilosophy
Blog about molecules, minds and everything in between, written by Mo, a molecular and developmental neurobiologist turned science writer. He aims to produce well-written and easily accessible articles about all aspects of neuroscience, so that he might help to improve public understanding of it. This blog has been featured for two consecutive years in the Open Lab annual anthologies of the best science blogging. AFTER four years at ScienceBlogs.com, Neurophilosophy has moved to a new home. It is now hosted by The Guardian.
Proper citation: Neurophilosophy (RRID:SCR_006514) Copy
http://www.guardian.co.uk/science/science+content/video
Articles published by guardian.co.uk Science about: Science + Video
Proper citation: The Guardian: Science Videos (RRID:SCR_006597) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. It was integrated with Antibody Registry. The JCN antibody database is a listing of all antibodies used in JCN papers from 2006 onward. The catalog numbers and vendor information is included for all antibodies listed, and with a new collaboration with NIF''''s AntibodyRegistry, a unique identifier is also listed for each antibody. The Journal of Comparative Neurology requires rigorous characterization for all antibodies that are used in JCN papers. The antibodies in the The Journal of Comparative Neurology antibody database have in nearly all cases been described and characterized adequately according to the provided guidelines. This information can be used to identify a particular target immunohistochemically or to design an experiment using the antibody information. If you are looking for an antibody to identify a particular target immunohistochemically, this list is a good place to begin your search. We suggest you then look up the paper in which the antibody was used, to make sure that it will meet your needs and to verify its characterization. (The characterization of antibodies in JCN papers often goes well beyond the material published by the manufacturer, so that examining this information before you order an antibody can be very useful.) While we do not guarantee that these antibodies will identify only the intended target (that is a function of the actual experiment and controls), this is the most carefully verified list of antibodies that we are aware of, and we wanted to share this resource with our readers and authors.
Proper citation: Journal of Comparative Neurology Antibody database (RRID:SCR_006470) Copy
http://www.ncbi.nlm.nih.gov/books/NBK1116/
Provides clinically relevant and medically actionable information for inherited conditions in standardized journal-style format, covering diagnosis, management, and genetic counseling for patients and their families. Searchable book of expert-authored, peer-reviewed disease descriptions presented in standardized format and focused on clinically relevant and medically actionable information on diagnosis, management, and genetic counseling of patients and families with specific inherited conditions.
Proper citation: GeneReviews (RRID:SCR_006560) Copy
A database of elecrophysiological properties text-mined from the biomedical literature as a function of neuron type. Specifically, NeuroElectro seeks to extract information about the electrophysiological properties (e.g. resting membrane potentials and membrane time constants) of diverse neuron types from the existing literature and place it into a centralized database. There are 252 neurons currently available, with the naming convention established in NeuroLex.
Proper citation: neuroelectro (RRID:SCR_006274) Copy
Blog that provides an on-line forum where the members of the MacArthur Foundation Research Network on Law and Neuroscience can share their ideas and interact with not only other researchers but also with the interested public more generally. One of the main goals of the blog is to provide a resource with information about cutting edge research at the cross-roads of neuroscience, law, and philosophy.
Proper citation: Law and Neuroscience (RRID:SCR_006155) Copy
https://www.ebi.ac.uk/chebi/beta/
Collection of chemical compounds and other small molecular entities that incorporates an ontological classification of chemical compounds of biological relevance, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms.
Proper citation: CHEBI (RRID:SCR_002088) Copy
http://bionumbers.hms.harvard.edu/
Database of key numbers in molecular and cell biology--the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists. Contents of the database range from cell sizes to metabolite concentrations, from reaction rates to generation times, from genome sizes to the number of mitochondria in a cell. Along with the numbers, you'll find the relevant references to the original literature, useful comments, and related numbers. While always of importance to biologists, having numbers in hand is becoming increasingly critical for experimenting, modeling, and analyzing biological systems. BioNumbers was motivated by an appreciation of how long it can take to find even the simplest number in the vast biological literature. All numbers are taken directly from a literature source and that reference is provided with the number. BioNumbers is designed to be highly searchable and queries can be performed by keywords or browsed by menus. BioNumbers is a collaborative community platform where registered users can add content and make comments on existing data. All new entries and commentary are curated to maintain high quality.
Proper citation: BioNumbers (RRID:SCR_002782) Copy
Model organism database that serves as central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. Data represented are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations.Serves as primary community database resource for laboratory use of zebrafish. Developed and supports integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.
Proper citation: Zebrafish Information Network (ZFIN) (RRID:SCR_002560) Copy
Database that combines detailed toxin data with comprehensive toxin target information. The database currently houses 3,053 toxins described by 32,276 synonyms, including pollutants, pesticides, drugs, and food toxins, which are linked to 1,670 corresponding toxin target records. Altogether there are 37,084 toxin, toxin target associations. (March 2014) Each toxin record (ToxCard) contains over 50 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from over 5,454 sources sources, which include other databases, government documents, books, and scientific literature. The focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. This dual nature of the T3DB, in which toxin and toxin target records are interactively linked in both directions, makes it unique from existing databases. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches
Proper citation: T3DB (RRID:SCR_002672) Copy
Database for the bacterium Escherichia coli K-12 MG1655, the EcoCyc project performs literature-based curation of the entire genome, and of transcriptional regulation, transporters, and metabolic pathways. The long-term goal of the project is to describe the molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli. EcoCyc is an electronic reference source for E. coli biologists, and for biologists who work with related microorganisms.
Proper citation: EcoCyc (RRID:SCR_002433) Copy
Bioinformatics and cheminformatics database that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.
Proper citation: DrugBank (RRID:SCR_002700) Copy
http://www.ncbi.nlm.nih.gov/gene
Database for genomes that have been completely sequenced, have active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. Includes nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases. All entries follow NCBI's format for data collections. Content of Entrez Gene represents result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. Content is updated as new information becomes available.
Proper citation: Entrez Gene (RRID:SCR_002473) Copy
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