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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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...
Transgenic Organisms00:53

Transgenic Organisms

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Transgenic Organisms00:53

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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.
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Published on: August 24, 2013

From data to function: functional modeling of poultry genomics data.

F M McCarthy1, E Lyons

  • 1Department of Veterinary Science and Microbiology, University of Arizona, Tucson, AZ 85721, USA. fionamcc@email.arizona.edu

Poultry Science
|August 21, 2013
PubMed
Summary
This summary is machine-generated.

Functional genomics in poultry research is advancing with new sequencing technologies. This study highlights available functional modeling resources and strategies for researchers to analyze complex genomic data for agriculture and health applications.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Poultry Science

Background:

  • Functional genomics aims to understand biological systems for agriculture, human health, and environmental benefits.
  • Functional modeling organizes gene and gene product data by function, interactions, and biological pathways.
  • Poultry researchers face challenges due to limited functional annotation data, tools, and training.

Purpose of the Study:

  • To discuss the impact of new sequencing technologies on poultry research.
  • To identify available functional modeling resources for poultry researchers.
  • To describe strategies for functional modeling of poultry genomic data.

Main Methods:

  • Review of functional modeling approaches, data, and tools.
  • Description of methods for functional analysis: Gene Ontology (GO) functional summaries, enrichment analysis, pathway, and network modeling.
  • Discussion of emerging cyberinfrastructure for data storage and analysis.

Main Results:

  • New sequencing technologies generate vast amounts of poultry genomic data.
  • Functional modeling resources and strategies are becoming more accessible.
  • Improved gene identification, nomenclature, expression data, and gene product function are crucial.

Conclusions:

  • Advancements in annotation and cyberinfrastructure support poultry functional genomics.
  • These developments will enable researchers to better interpret functional genomics datasets.
  • This work provides a starting point for poultry researchers utilizing functional modeling tools.