Reliable transfer of transcriptional gene regulatory networks between taxonomically related organisms
نویسندگان
چکیده
منابع مشابه
Genomic analysis of gene expression relationships in transcriptional regulatory networks.
From merging several data sources, we created an extensive map of the transcriptional regulatory network in Saccharomyces cerevisiae, comprising 7419 interactions connecting 180 transcription factors (TFs) with their target genes. We integrated this network with gene-expression data, relating the expression profiles of TFs and target genes. We found that genes targeted by the same TF tend to be...
متن کاملModeling transcriptional regulatory networks.
Developmental processes in complex animals are directed by a hardwired genomic regulatory code, the ultimate function of which is to set up a progression of transcriptional regulatory states in space and time. The code specifies the gene regulatory networks (GRNs) that underlie all major developmental events. Models of GRNs are required for analysis, for experimental manipulation and, most fund...
متن کاملConstructing transcriptional regulatory networks.
Biological networks are the representation of multiple interactions within a cell, a global view intended to help understand how relationships between molecules dictate cellular behavior. Recent advances in molecular and computational biology have made possible the study of intricate transcriptional regulatory networks that describe gene expression as a function of regulatory inputs specified b...
متن کاملSpecial homomorphisms between Probabilistic Gene Regulatory Networks
In this paper we study finite dynamical systems with n functions acting on the same set X, and probabilities assigned to these functions, that it is called Probabilistic Regulatory Gene Networks (PRN) in [3]. This concept is the same or a natural generalization of the concept Probabilistic Boolean Networks (PBN), introduced by I. Shmulevich, E. Dougherty, and W. Zhang in [9], particularly the m...
متن کاملTranscriptional Regulatory Networks via Gene Ontology and Expression Data
Transcriptional regulatory network (TRN) discovery using information from a single source does not seem feasible due to lack of sufficient information, resulting in the construction of spurious or incomplete TRNs. A methodology, TRND, that integrates a preliminary TRN, gene expression data and gene ontology is developed to discover TRNs. The method is applied to a comprehensive set of expressio...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2009
ISSN: 1752-0509
DOI: 10.1186/1752-0509-3-8