This chart lists the major biomedical research reporting guidelines that provide advice for reporting research methods and findings. They usually "specify a minimum set of items required for a clear and transparent account of what was done and what was found in a research study, reflecting, in particular, issues that might introduce bias into the research" (Adapted from the EQUATOR Network Resource Centre). The chart also includes editorial style guides for writing research reports or other publications. https://www.equator-network.org/
Information about retroviruses and specialized tools for the analysis of retroviral proteins and genomes. The tools on this page aid in the identification, study and analysis of retroviral genomes and proteins. For instance, the HIV, human interaction database catalogs and organizes published data in peer-reviewed journals regarding HIV-1 and human protein interactions. Several links external to NCBI are also included for the purposes of education, research and health-related matters. These include links to the CDC, the Retroviruses textbook and other informative sites.
The RxClass Browser is a web application for exploring and navigating through the class hierarchies to find the RxNorm drug members associated with each class.
RxClass links drug classes of several drug sources including ATC, MeSH, NDF-RT and FDA/SPL to their RxNorm drug members (ingredients, precise ingredients and multiple ingredients).
RxClass allows users to search by class name or identifier to find the RxNorm drug members or, conversely, search by RxNorm drug name or identifier to find the classes that the RxNorm drug is a member of.
An interface for building applications that allows users to combine functions of various NLM drug APIs, including the RxNorm, RxClass, RxTerms, and NDF-RT APIs. Sequences of functions can be executed interactively or in batch mode.
RxNav-in-a-Box provides users with a locally-installable RxNav (https://rxnav.nlm.nih.gov/RxNavDoc.html) and RESTful companion APIs, including RxNorm, RxTerms, RxClass, RxCUI history, and drug-drug interactions.
RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, Gold Standard, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary.
RxTerms is a drug interface terminology derived from RxNorm for prescription writing or medication history recording (e.g. in e-prescribing systems, PHRs). RxTerms is derived only from the non-proprietary content of RxNorm, which is developed and maintained by the U.S. National Library of Medicine. No fee or license is required to use the RxTerms data. Technical documentation at https://wwwcf.nlm.nih.gov/umlslicense/rxtermApp/rxTermFileStructure.cfm
The SKR Project was initiated at NLM in order to develop programs to provide usable semantic representation of biomedical free text by building on resources currently available at the library. The SKR project is concerned with reliable and effective management of the information encoded in natural language texts. The project develops programs that provide usable semantic representation of biomedical text by building on resources currently available at the Library, especially the UMLS knowledge sources and the natural language processing tools provided by the SPECIALIST system. This Java-based API to the Semantic Knowledge Representation (SKR) Scheduler facility was created to provide users with the ability to programmatically submit jobs to the Scheduler Batch and Interactive facilities instead of using the Web-based interface.
The Sequence Read Archive (SRA) stores sequencing data from the next generation of sequencing platforms including Roche 454 GS System®, Illumina Genome Analyzer®, Life Technologies AB SOLiD System®, Helicos Biosciences Heliscope®, Complete Genomics®, and Pacific Biosciences SMRT®.
This site is for browsing WGS (Whole Genome Shotgun) genomes, TSA (Transcriptome Shotgun Assemblies) and TLS (Targeted Locus Study) sets. WGS sequences are incomplete genomes that have been sequenced by a whole genome shotgun strategy. TSA sequences are transcript sequences that have been computationally assembled from primary RNA sequence data. TLS sequences are large-scale marker gene sequencing studies.