Gene expression during carcinogenesis: A bioinformatics perspective | An analysis of the global patterns of changes in the gene expression associated with genesis of cancer

Ganiraju Manyam (u. a.)

ISBN 10: 3838350898 / ISBN 13: 9783838350899

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Gene expression during carcinogenesis: A bioinformatics perspective | An analysis of the global patterns of changes in the gene expression associated with genesis of cancer | Ganiraju Manyam (u. a.) | Taschenbuch | 216 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838350899 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101152787

Bibliographic Details

• Title: Gene expression during carcinogenesis: A bioinformatics perspective | An analysis of the global patterns of changes in the gene expression associated with genesis of cancer
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838350898
• ISBN 13: 9783838350899
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 340 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Cancer arises from a stepwise accumulation of genetic changes through expansion of the malignant cell clones in the population of pre-malignant cells undergoing Darwinian selection process. In other words, cancer is an outcome of continuous and random acquisition of the changes in the genomes of individual cells. These modifications gradually and progressively change the phenotype of the normal cell making it more malignant through a loss of an overall stability of genome. The book summarizes bioinformatic methods to analyze the most general features of the malignant cell investigating molecular phenomena common for all tumor cells, with no regard to the characteristics related to tumor?s tissue of origin. The results obtained in three independent modules of the book enhance a general understanding of cancer as an expression system comprising of the components dynamically interacting with each other. These results along with novel tools for in silico analysis of the cancer cell described in the book provide novel avenues for the functional genomics and systems biology of cancer and may be of help for large-scale computational modeling of cancer.