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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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Using the DFCI gene index databases for biological discovery.

Corina Antonescu1, Valentin Antonescu1, Razvan Sultana1

  • 1Dana-Farber Cancer Institute, Boston, Massachusetts.

Current Protocols in Bioinformatics
|March 6, 2010
PubMed
Summary
This summary is machine-generated.

The DFCI Gene Index provides access to gene sequence analyses for 114 species. This guide details how to effectively search these databases for specific gene information.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • The DFCI Gene Index Web pages offer extensive analyses of expressed sequence tags (ESTs) and gene sequences.
  • These resources cover nearly 114 different species, providing a valuable dataset for genetic research.

Purpose of the Study:

  • To provide a comprehensive protocol for utilizing the DFCI Gene Index Databases.
  • To guide users in extracting specific information from the diverse gene sequence and EST analyses available.

Main Methods:

  • Utilizing species-specific databases presented in a common format with dedicated home pages.
  • Employing various search functionalities including WU-BLAST for nucleotide/protein sequences.
  • Conducting text-based searches by identifiers, gene/tissue/library names, and Gene Ontology functional classes.

Main Results:

  • Access to analyzed ESTs and gene sequences for a wide range of species.
  • Multiple search strategies enable targeted information retrieval.
  • Gene Ontology assignments facilitate functional classification searches.

Conclusions:

  • The DFCI Gene Index is a powerful resource for genomic and genetic information retrieval.
  • The provided protocol enhances user ability to navigate and extract data efficiently.
  • This resource supports diverse research applications in bioinformatics and genomics.