1 / 12

Reconstructing Transcription Network in S.cerevisiae

Reconstructing Transcription Network in S.cerevisiae. WANG Chao Oct. 4, 2004. Wei Wang, J. Michael Cherry, et al, A systematic approach to reconstructing transcription networks in Saccharomyces cerevisiae , (2002) Proc. Natl. Acad. Sci, Vol.99 16893-16898. Summary of Work.

dianas
Download Presentation

Reconstructing Transcription Network in S.cerevisiae

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Reconstructing Transcription Network inS.cerevisiae WANG Chao Oct. 4, 2004

  2. Wei Wang, J. Michael Cherry, et al, A systematic approach to reconstructing transcription networks in Saccharomyces cerevisiae, (2002) Proc. Natl. Acad. Sci, Vol.99 16893-16898

  3. Summary of Work • Reconstructing transcription modules • Identifying conditions/perturbations under which a particular transcription module is activated/deactivated

  4. Information source from • Regulatory sequences • Genome-wide mRNA expression data • Functional annotation

  5. Step One: Identification of transcription modules • Identification of the conserved core of the DNA regulatory motif(s) by using the RE-DUCER algorithm • Identification of all of the genes likely to be directly regulated by this TF by using an expression-weighted profile method

  6. The expression-weighted profile method

  7. Step Two: Determination of which transcription modules are activated (or deactivated) under particular experimental conditions

  8. TFPE: transcription factor perturbation experimentsX value: weights genes according to both the expression ratio and the frequency of occurrences of a specific motifP value of the Pearson correlation coefficient

  9. Step Three: Inference of interactions between coactivated transcription modules by identifying genes shared by coactivated modules and other annotation information

  10. The End

More Related