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The topological model of genome and evolution = understanding the origin and nature of life /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The topological model of genome and evolution/ by Pradeep Chhaya.
其他題名:	understanding the origin and nature of life /
作者:	Chhaya, Pradeep.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xxiii, 546 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Functional genomics. -
電子資源:	https://doi.org/10.1007/978-981-99-4318-0
ISBN:	9789819943180

The topological model of genome and evolution = understanding the origin and nature of life /
Chhaya, Pradeep.

The topological model of genome and evolutionunderstanding the origin and nature of life /[electronic resource] :by Pradeep Chhaya. - Singapore :Springer Nature Singapore :2023. - xxiii, 546 p. :ill., digital ;24 cm.

Chapter 1_Nature of Life: Structuralism and functionalities -- Chapter 2_Nature of Relationship Between: A Genotype and A Phenotype -- Chapter 3_Nature of Genomic Architecture: A Topological Model of Genome -- Chapter 4_Biological Algorithm of Involution: Ontology of Gene Expressions -- Chapter 5_Nature of Developmental Processes in Mammals -- Chapter 6_Nature of Aging Process: Genomic Ontology of Aging -- Chapter 7_Nature of Genomic Evolution: Its imprint in Cancer -- Chapter 8_Nature of Regulatory Genome: The Evolution and Natural Selection of Genotope -- Chapter 9_Principles of Genomic Evolution.

This book deals with the missing link in the domain of functional genomics viz. genomic architecture. It begins with a deconstruction of the Darwinian paradigm using the proposed model of modified involuted manifolds. It recasts the process of natural selection as a process of information transfer. Using a topological model, this book outlines a new genomic architecture. The key argument for this proposed model is that some such structuralism has always been implicit in genomics. The proposed model fits very well with the known genomic characteristics and allows to separate the regulatory genome from the transcriptive genomes. The model is capable of discerning modular architecture of genomes with different genomic functionalities existing in hierarchical relationships and demonstrates that genomes act as units of selection and as the environment for the individual genes which act as competing species. Towards the end, the book also examines the role of genomic evolution in cancer and the principles of natural selection and evolution of the genotype. The regulatory genome is also discussed, with an emphasis on its evolution and natural selection. It is a valuable source for researchers working in functional genomics, mathematical modeling in biology and evolutionary genomics.

ISBN: 9789819943180

Standard No.: 10.1007/978-981-99-4318-0doiSubjects--Topical Terms:

1070913
Functional genomics.

LC Class. No.: QH447 / .C44 2023

Dewey Class. No.: 572.86

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520 $a This book deals with the missing link in the domain of functional genomics viz. genomic architecture. It begins with a deconstruction of the Darwinian paradigm using the proposed model of modified involuted manifolds. It recasts the process of natural selection as a process of information transfer. Using a topological model, this book outlines a new genomic architecture. The key argument for this proposed model is that some such structuralism has always been implicit in genomics. The proposed model fits very well with the known genomic characteristics and allows to separate the regulatory genome from the transcriptive genomes. The model is capable of discerning modular architecture of genomes with different genomic functionalities existing in hierarchical relationships and demonstrates that genomes act as units of selection and as the environment for the individual genes which act as competing species. Towards the end, the book also examines the role of genomic evolution in cancer and the principles of natural selection and evolution of the genotype. The regulatory genome is also discussed, with an emphasis on its evolution and natural selection. It is a valuable source for researchers working in functional genomics, mathematical modeling in biology and evolutionary genomics.
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