A predictive model of gene expression reveals the role of network motifs in the mating response of yeast

Author:

Pomeroy Amy E.1ORCID,Peña Matthew I.2ORCID,Houser John R.2,Dixit Gauri3,Dohlman Henrik G.3ORCID,Elston Timothy C.24ORCID,Errede Beverly3ORCID

Affiliation:

1. Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

2. Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

3. Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

4. Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Abstract

Signaling network motifs ensure appropriate transcriptional responses to distinct pheromone dynamics in yeast.

Funder

National Institute of General Medical Sciences

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Cell Biology,Molecular Biology,Biochemistry

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