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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

Del Giudice Ennio et al., CNS involvement in OFD1 syndrome: a clinical, molecular, and neuroimaging study. Orphanet Journal of Rare Diseases (2014) doi:10.1186/1750-1172-9-74

Bouwman D Russell et al., Human immunodeficiency virus Tat associates with a specific set of cellular RNAs. Retrovirology (2014) doi:10.1186/1742-4690-11-53

Chou Wei-Chun et al., Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer Transcriptomic methods. BMC Genomics (2014) doi:10.1186/1471-2164-15-300

Wang Ting et al., Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method Networks analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-255

Pentheroudakis George et al., A study of gene expression markers for predictive significance for bevacizumab benefit in patients with metastatic colon cancer: a translational research study of the Hellenic Cooperative Oncology Group (HeCOG) Translational oncology. BMC Cancer (2014) doi:10.1186/1471-2407-14-111

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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