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Functional genomics in farm animals – Microarray analysis

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Title: Functional genomics in farm animals – Microarray analysis
Authors: Bendixen, Christian Christian.Bendixen@agrsci.dk, Hedegaard, Jakob1, Horn, Per1
Source: Meat Science. Sep2005, Vol. 71 Issue 1, p128-137. 10p.
Subjects: Domestic animals, Genetic research, Analysis of variance, Statistical hypothesis testing
Abstract: Abstract: The rapid progression of farm animal genomics has introduced novel technologies capable of presenting global descriptions of biological systems at the level of gene and protein expression and protein interaction. To fully benefit from these developments, experimental designs have to be adapted to these new technologies, and important considerations must be made in the choice of technologies and methods of analysis to be used. This paper addresses practical issues in the use of microarray based methods for gene-expression analysis in farm animals, and provides an overview of different array-platforms as well as a presentation of methods and software for the analysis of array data. Experimental design and the selection of animals and samples for microarray studies in farm animals present novel challenges, which are often overlooked. In particular, the frequent use of half sibs and full sibs in animal studies increases the risk of falsely identifying genes as being differentially expressed, due to genetic linkage of the gene to a QTL or a major gene affecting the trait in question. [Copyright &y& Elsevier]
Copyright of Meat Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 18137399
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Functional genomics in farm animals – Microarray analysis
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  Data: <searchLink fieldCode="AR" term="%22Bendixen%2C+Christian%22">Bendixen, Christian</searchLink><i> Christian.Bendixen@agrsci.dk</i><br /><searchLink fieldCode="AR" term="%22Hedegaard%2C+Jakob%22">Hedegaard, Jakob</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Horn%2C+Per%22">Horn, Per</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Meat+Science%22">Meat Science</searchLink>. Sep2005, Vol. 71 Issue 1, p128-137. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Domestic+animals%22">Domestic animals</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+research%22">Genetic research</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink>
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  Data: Abstract: The rapid progression of farm animal genomics has introduced novel technologies capable of presenting global descriptions of biological systems at the level of gene and protein expression and protein interaction. To fully benefit from these developments, experimental designs have to be adapted to these new technologies, and important considerations must be made in the choice of technologies and methods of analysis to be used. This paper addresses practical issues in the use of microarray based methods for gene-expression analysis in farm animals, and provides an overview of different array-platforms as well as a presentation of methods and software for the analysis of array data. Experimental design and the selection of animals and samples for microarray studies in farm animals present novel challenges, which are often overlooked. In particular, the frequent use of half sibs and full sibs in animal studies increases the risk of falsely identifying genes as being differentially expressed, due to genetic linkage of the gene to a QTL or a major gene affecting the trait in question. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Meat Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.meatsci.2005.04.011
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      – Code: eng
        Text: English
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        StartPage: 128
    Subjects:
      – SubjectFull: Domestic animals
        Type: general
      – SubjectFull: Genetic research
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Statistical hypothesis testing
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      – TitleFull: Functional genomics in farm animals – Microarray analysis
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              Text: Sep2005
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              Y: 2005
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