On Gene Duplication Models for Evolving Regulatory Networks
نویسندگان
چکیده
Background: Duplication of genes is important for evolution of molecular networks. Many authors have therefore considered gene duplication as a driving force in shaping the topology of molecular networks. In particular it has been noted that growth via duplication would act as an implicit way of preferential attachment, and thereby provide the observed broad degree distributions of molecular networks.
منابع مشابه
Plant Evolution: Evolving Antagonistic Gene Regulatory Networks
Developing a structurally complex phenotype requires a complex regulatory network. A new study shows how gene duplication provides a potential source of antagonistic interactions, an important component of gene regulatory networks.
متن کاملModeling gene regulatory networks: Classical models, optimal perturbation for identification of network
Deep understanding of molecular biology has allowed emergence of new technologies like DNA decryption. On the other hand, advancements of molecular biology have made manipulation of genetic systems simpler than ever; this promises extraordinary progress in biological, medical and biotechnological applications. This is not an unrealistic goal since genes which are regulated by gene regulatory ...
متن کاملAnalyzing a stochastic model for evolving regulatory networks by unbiased gene duplication
Results: We extend current models of gene duplication and rewiring by including directions and the fact that molecular networks are not the result of unidirectional growth. We introduce upstream sites and downstream shapes to quantify potential links during duplication and rewiring. We find that this in itself generate the observed scaling of transcription factors with genome sites in procaryot...
متن کاملGene Duplication Models and Reconstruction of Gene Regulatory Network Evolution from Network Structure
In this paper we study evolution of gene regulatory networks from the graph-theoretic perspective. We consider two gene duplication models that are based on those studied before, but are more general and/or mathematically more precise than previously published schemes. Our aims are to assess the biological appropriateness of the proposed models and to study the possibilities of reconstruction o...
متن کاملImproving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach
Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes. This requires the integration of different biological disciplines as well as sophisticated mathematical and statistical tools. This study revealed that data mining techniques can be used to develop models for diagnosing high-risk or low-risk lif...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007