Microarray data analysis of M.tuberculosis whole genome using Genesis: Cluster Analysis and Co-expression study of Mycobacterium tuberculosis for Genome Wide Microarray Expression Data - Softcover

Raj, Utkarsh; Mahajan, Naina; Pal, Santosh

 
9783659185168: Microarray data analysis of M.tuberculosis whole genome using Genesis: Cluster Analysis and Co-expression study of Mycobacterium tuberculosis for Genome Wide Microarray Expression Data
Softcover
ISBN 10: 3659185167 ISBN 13: 9783659185168
Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

DNA microarrays are a powerful tool to investigate differential gene expression for thousands of genes simultaneously. Although DNA microarrays have been widely used to understand the critical events underlying growth, development, homeostasis, behavior and the onset of disease, the management of the resulting data has received little attention. Presently, the fluorescent dyes Cy3 and Cy5 are most often used to prepare labeled cDNA for microarray hybridizations. Raw microarray data are image files that have to be transformed into gene expression formats – a process that requires data manipulation due to systematic variations which may be attributed to differences in the physical and chemical dye characteristics. There are different approaches to analyse the large-scale gene expression data in which the essence is to identify gene clusters. This approach has allowed us to determine expression profiles of novel developmentally regulated genes. Finally we get some genes which highly coexpressed and may be involved in pathogenesis.

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Reseña del editor

DNA microarrays are a powerful tool to investigate differential gene expression for thousands of genes simultaneously. Although DNA microarrays have been widely used to understand the critical events underlying growth, development, homeostasis, behavior and the onset of disease, the management of the resulting data has received little attention. Presently, the fluorescent dyes Cy3 and Cy5 are most often used to prepare labeled cDNA for microarray hybridizations. Raw microarray data are image files that have to be transformed into gene expression formats - a process that requires data manipulation due to systematic variations which may be attributed to differences in the physical and chemical dye characteristics. There are different approaches to analyse the large-scale gene expression data in which the essence is to identify gene clusters. This approach has allowed us to determine expression profiles of novel developmentally regulated genes. Finally we get some genes which highly coexpressed and may be involved in pathogenesis.

Biografía del autor

I am pursuing M.Tech (Biotechnology) from Gautam Buddha University, India. My area of interest is Bioinformatics mainly CADD, Protein Modelling, Microarray Analysis, Web designing etc. I had done various projects which got accepted at National/International level.I am also thankful to Ms.Naina, for being there throughout this project to support me.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
3659185167
ISBN 13 
9783659185168
Einband
Tapa blanda
Anzahl der Seiten
56
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