Literature DB >> 18428756

Searching the NCBI databases using Entrez.

Andreas D Baxevanis.   

Abstract

One of the most widely-used interfaces for the retrieval of information from biological databases is the NCBI Entrez system. Entrez capitalizes on the fact that there are pre-existing, logical relationships between the individual entries found in numerous public databases. The existence of such natural connections, mostly biological in nature, argued for the development of a method through which all the information about a particular biological entity could be found without having to sequentially visit and query disparate databases. Two Basic Protocols describe simple, text-based searches, illustrating the types of information that can be retrieved through the Entrez system. An Alternate Protocol builds upon the first Basic Protocol, using additional, built-in features of the Entrez system, and providing alternative ways to issue the initial query. The Support Protocol reviews how to save frequently-issued queries. Finally, Cn3D, a structure visualization tool, is also discussed.

Mesh:

Year:  2006        PMID: 18428756     DOI: 10.1002/0471250953.bi0103s13

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  3 in total

1.  In Silico Design of Novel Anticoagulant Peptides targeting Blood Coagulation Factor VIIa.

Authors:  Manal S Q Al-Amri; Khalid Alrasadi; Riad Bayoumi; Yajnavalka Banerjee
Journal:  Sultan Qaboos Univ Med J       Date:  2011-02-12

2.  Web tools to perform long non-coding RNAs analysis in oncology research.

Authors:  Shixing Gu; Guangjie Zhang; Qin Si; Jiawen Dai; Zhen Song; Yingshuang Wang
Journal:  Database (Oxford)       Date:  2021-07-23       Impact factor: 3.451

3.  RegExpBlasting (REB), a Regular Expression Blasting algorithm based on multiply aligned sequences.

Authors:  Francesco Rubino; Marcella Attimonelli
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

  3 in total

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