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OpenHelix

NCBI's Entrez tool for gene-centric information

Tutorial and training materials by OpenHelix

Learn to use the Entrez Gene resource, a gene-centered collection of information from databases maintained by the National Center for Biotechnology Information (NCBI) and from other sources. Genes with defined sequences, known map positions, and genes inferred from phenotypic information are included, and information is added to these records when it becomes available. Entrez Gene records are extensively annotated and linked to provide you with easy access to many types of related information, including literature, taxonomy, conserved domains, GEO Profiles, chemical compound and substance data and more.
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You'll learn:

  • basic and advanced searches, including complex Boolean strategies
  • to understand the detailed gene reports provided
  • how to navigate, understand and customize output displays
  • additional features, such as options for saving searches, setting filters, and more


Categories

View additional tutorials for resources in

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

Recent BioMed Central research articles citing this resource

Grover P Mani et al., Identification of novel therapeutics for complex diseases from genome-wide association data Selected articles from the 3rd Translational Bioinformatics Conference (TBC/ISCB-Asia 2013) The 3rd Annual Translational Bioinformatics Conference (TBC/ISCB-Asia 2013). BMC Medical Genomics (2014) doi:10.1186/1755-8794-7-S1-S8

Jaffe E Andrew et al., Accounting for cellular heterogeneity is critical in epigenome-wide association studies. Genome Biology (2014) doi:10.1186/gb-2014-15-2-r31

Matari H Nahill et al., A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models Genome evolution and evolutionary systems biology. BMC Evolutionary Biology (2014) doi:10.1186/1471-2148-14-101

Coelho D Edgar et al., Computational prediction of the human-microbial oral interactome Systems physiology, pharmacology and medicine. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-24

Oh Jung Hun et al., Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm Selected articles from the 10th Annual Biotechnology and Bioinformatics Symposium (BIOT 2013) The 10th Annual Biotechnology and Bioinformatics Symposium (BIOT 2013). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-S7-S5

More about the resource:

Entrez Gene focuses on sequenced genomes, primarily from NCBIs Reference Sequence project of curated records. This resource is one of more than 30 inter-related databases developed and maintained by the National Center for Biotechnology Information (NCBI), and is searchable through the umbrella system Entrez.


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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.
Copyright 2009, OpenHelix, LLC.

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