Overview of NCBI's Entrez Search Resource
Tutorial and training materials by OpenHelix
|Learn to use Entrez the main search engine for the National Center for Biotechnology Information, NCBI. An understanding of the features of Entrez will improve all of your searches at the NCBI site--whether you seek genes, genomes, proteins, literature, or any of the other extensive data collections at NCBI. This is because Entrez provides a variety of tools for searching and retrieving that are common to many of the NCBI databases. Here we will review and highlight the general features of many of the most important Entrez tools.|
- how to globally search all Entrez databases at once
- to perform basic, advanced, and Boolean searches effectively
- to interpret the results lists and understand the displays
- about some of the more advanced Entrez tools, such as Batch Entrez and Batch Citation Matcher
- strategies to customize and save searches to re-run later, and output mechanisms for results
Recent BioMed Central research articles citing this resource
Cole Charles et al., Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data Results and data. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-28
Moreland Travis R et al., A customized Web portal for the genome of the ctenophore Mnemiopsis leidyi Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-316
Chakrabarti Chayan et al., Statistical algorithms for ontology-based annotation of scientific literature Proceedings of the Bio-Ontologies Special Interest Group 2013 Bio-Ontologies Special Interest Group 2013. Journal of Biomedical Semantics (2014) doi:10.1186/2041-1480-5-S1-S2
Brionne Aurélien et al., Hen uterine gene expression profiling during eggshell formation reveals putative proteins involved in the supply of minerals or in the shell mineralization process Non-human and non-rodent vertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-220
Malone James et al., The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation. Journal of Biomedical Semantics (2014) doi:10.1186/2041-1480-5-25
More about the resource:
The National Center for Biotechnology Information (NCBI) in the National Library of Medicine at NIH, creates, develops and maintains a large number of molecular biology and genomics databases and tools. More than 30 of these databases can be searched using the umbrella resource Entrez. Many searching techniques are common among all the databases. The records contain extensive links between and within databases, providing a rich resource for the discovery of new connections.
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