The Topological Model of Genome and Evolution [electronic resource] : Understanding the Origin and Nature of Life / by Pradeep Chhaya.

Por: Chhaya, Pradeep [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: Texto

TextoEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXIII, 546 p. 1 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819943180Tema(s): Genetics | Evolution (Biology) | Evolutionary genetics | Genetics and Genomics | Evolutionary Biology | Evolutionary Theory | Evolutionary GeneticsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 576.5 Clasificación LoC:QH426-470Recursos en línea: Libro electrónico Texto

Contenidos:

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.

En: Springer Nature eBookResumen: 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. .

Existencias ( 1 )
Notas de título ( 4 )

Existencias
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Acceso multiusuario

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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