Computational methods in analysis of gene regulation and protein interactions [electronic resource] / Ron Shamir.

By: Shamir, Ron [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 (33 min.) : color, sound)Subject(s): Biological models | Computational biology | Protein-protein interactions -- Data processing | Proteomics | Algorithms | Computational Biology -- methods | Gene Regulatory Networks | Protein Interaction Mapping | Systems BiologyOnline resources: Click here to access online | Series
Contents:
Contents: Finding regulatory motifs -- Finding motifs using target sets of promoters -- Problem definition -- The Amadeus motif finding algorithm -- Architecture, benchmark results and global analysis -- Finding transcriptional programs and their regulatory motifs -- Problem definition -- The Allegro software for recovering transcriptional program -- Results on yeast osmotic shock expression profiles -- Recovering microRNA binding motifs from 3' UTRs using stem cell expression profiles -- Discovering a novel motif pair in C. elegans -- Utilizing network information -- Using expression and protein interaction data -- Problem definition and the Matisse algorithm -- Demonstration of Matisse on yeast osmotic shock data -- Comparison of Matisse to other algorithms -- Demonstration of Matisse on human stem cell data -- The pluripotency network -- Using expression and protein interaction data with interaction confidence -- The Cezanne algorithm -- DNA damage response in yeast.
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Animated audio-visual presentation with synchronized narration.

Title from title frames.

Contents: Finding regulatory motifs -- Finding motifs using target sets of promoters -- Problem definition -- The Amadeus motif finding algorithm -- Architecture, benchmark results and global analysis -- Finding transcriptional programs and their regulatory motifs -- Problem definition -- The Allegro software for recovering transcriptional program -- Results on yeast osmotic shock expression profiles -- Recovering microRNA binding motifs from 3' UTRs using stem cell expression profiles -- Discovering a novel motif pair in C. elegans -- Utilizing network information -- Using expression and protein interaction data -- Problem definition and the Matisse algorithm -- Demonstration of Matisse on yeast osmotic shock data -- Comparison of Matisse to other algorithms -- Demonstration of Matisse on human stem cell data -- The pluripotency network -- Using expression and protein interaction data with interaction confidence -- The Cezanne algorithm -- DNA damage response in yeast.

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