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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.
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You'll learn:

  • 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


Categories

View additional tutorials for resources in

  • Miscellaneous
  • NCBI : This category includes all resources maintained at the National Center for Biotechnology Information (NCBI)

Recent BioMed Central research articles citing this resource

Pepe Daniele et al., Investigating perturbed pathway modules from gene expression data via structural equation models Transcriptome analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-132

Russo Francesco et al., A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs Italian Society of Bioinformatics (BITS): Annual Meeting 2013: Genomics Tenth Annual Meeting of the Italian Society of Bioinformatics (BITS). BMC Genomics (2014) doi:10.1186/1471-2164-15-S3-S4

Vonlanthen Janine et al., A comprehensive look at transcription factor gene expression changes in colorectal adenomas Cell and molecular biology. BMC Cancer (2014) doi:10.1186/1471-2407-14-46

Kang Hyunjung et al., gsGator: an integrated web platform for cross-species gene set analysis Knowledge-based analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-13

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

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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The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
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