Structure, evolution and dynamics of transcriptional regulatory networks [electronic resource] / M. Madan Babu.

By: Babu, M. Madan [spk]Material type: FilmFilmSeries: Henry Stewart talksBiomedical & life sciences collection. Protein homeostasis: Publisher: London : Henry Stewart Talks, 2012Description: 1 online resource (1 streaming video file (41 min.) : color, sound)Other title: Title from publisher's web site: Structure, evolution and dynamics of gene regulatory networksSubject(s): Biological models | Genetic transcription -- Regulation | Gene Expression Regulation | Gene Regulatory Networks | Genomics -- methods | Transcription, GeneticOnline resources: Click here to access online | Series
Contents:
Contents: Regulatory genomics and systems biology -- Transcriptional networks -- Network motifs -- Scale-free networks -- How transcriptional networks evolve -- Mechanisms for the creation of new genes -- Gene duplication and network growth -- Evolution of local network structure -- Gene regulatory network and expression data -- Back-tracking method to find active sub-networks -Temporal dynamics of local & global structure -- Topological properties -- Dynamic properties -- Hierarchical organisation in networks & of regulatory proteins -- Noise in protein levels -- Non-genetic variation -- Phenotypic variability in fluctuating environments -- Differential cell-fate outcome -- Node dynamics.
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Animated audio-visual presentation with synchronized narration.

Title from title frames.

Contents: Regulatory genomics and systems biology -- Transcriptional networks -- Network motifs -- Scale-free networks -- How transcriptional networks evolve -- Mechanisms for the creation of new genes -- Gene duplication and network growth -- Evolution of local network structure -- Gene regulatory network and expression data -- Back-tracking method to find active sub-networks -Temporal dynamics of local & global structure -- Topological properties -- Dynamic properties -- Hierarchical organisation in networks & of regulatory proteins -- Noise in protein levels -- Non-genetic variation -- Phenotypic variability in fluctuating environments -- Differential cell-fate outcome -- Node dynamics.

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