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Gene Families

Gene Families

Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...

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Related Experiment Video

Updated: Jun 6, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Searching NCBI's dbSNP database.

Medha Bhagwat¹

¹NIH Library, Office of Research Services, National Institutes of Health, Bethesda, Maryland, USA.

Current Protocols in Bioinformatics

|December 15, 2010

Summary

This summary is machine-generated.

Learn to effectively search the Single-Nucleotide Polymorphism database (dbSNP) for nucleotide variations. This guide covers text and sequence-based searches and the GeneView display format for gene-specific SNP information.

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Area of Science:

Bioinformatics
Genomics
Molecular Biology

Background:

The Single-Nucleotide Polymorphism database (dbSNP) is a crucial resource for genetic variation data.
Understanding how to navigate dbSNP is essential for researchers in genetics and molecular biology.
Effective searching ensures access to comprehensive nucleotide variation information.

Purpose of the Study:

To provide clear protocols for searching the dbSNP database.
To demonstrate text-based and sequence-based search strategies.
To explain the GeneView format for retrieving gene-specific SNP data.

Main Methods:

Describes text-based search protocols within dbSNP.
Details sequence-based search methods for variation discovery.
Explains the utilization of the GeneView display format.

Main Results:

Effective search strategies for dbSNP are presented.
Users can perform targeted searches using text or sequence data.
GeneView facilitates focused retrieval of SNPs within specific genes.

Conclusions:

Efficiently searching dbSNP enhances research capabilities.
The described methods enable precise access to genetic variation data.
dbSNP serves as a vital public repository for nucleotide variations.