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Proper Citation: XplorMed (RRID:SCR_002549)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Server that allows you to explore a set of abstracts derived from a MEDLINE search. The system gives you the main associations between the words in groups of abstracts. Then, you can select a subset of your abstracts based on selected groups of related words and iterate your analysis on them. The only input needed is a set of abstracts (in one of the currently accepted input formats) or a definition of how to obtain them. XplorMed is recommended for cases in which you do not know exactly what are you expecting to find. Your interests may be modified by the results obtained, or you may want to inquire new questions as the analysis develops. Also, the results may suggest you additional words that should be used to expand your query in MEDLINE (e.g., unexpected abbreviations of a protein name, or synonyms of a disease).
Synonyms: Xploring Medline abstracts, XplorMed: eXploring Medline abstracts
Resource Type: analysis service resource, data analysis service, production service resource, service resource
Defining Citation: PMID:12532176, PMID:11551795, PMID:12074170
Keywords: abstract, literature-research, information retrieval, part-of-speech, bioinformatics, text-mining, literature
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: XplorMed
Resource ID: SCR_002549
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
