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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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.
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Gene Families01:57

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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

On gene ontology and function annotation.

Debnath Pal1

  • 1Bioinformatics Centre, Indian Institute of Science, Bangalore. dpal@serc.iisc.ernet.in

Bioinformation
|June 29, 2007
PubMed
Summary
This summary is machine-generated.

Gene function annotation requires detailed context beyond current Gene Ontology (GO) limitations. Developing larger biological domain ontologies is crucial for understanding complex biological systems and high-throughput data.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Gene function annotation is critical for understanding biological systems.
  • The Gene Ontology (GO) Consortium provides structured vocabularies for gene/protein activity.
  • Current GO structure segregates functions into molecular function, biological process, and cellular component.

Observation:

  • GO's subdomain segregation presents limitations for comprehensive biological understanding.
  • Detailed action, components, and context are vital for accurate gene/protein function annotation.
  • Larger biological domain ontologies are necessary to capture the complexity of biological systems.

Findings:

  • Integrating subdomain ontologies is insufficient for creating larger bio-domain ontologies.
  • Relationships in larger bio-domain ontologies are inherently more complex due to system scale.
  • Developing comprehensive ontologies requires significant labor and is more intensive.

Implications:

  • Current GO limitations hinder the derivation of complex relationships from high-throughput biology data.
  • Advancements in systems biology and bioinformatics necessitate more comprehensive ontological frameworks.
  • A community-wide discussion is needed to foster the development of advanced biological domain ontologies.