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High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae
We present an approach for identifying condition-specific regulatory modules by using separate units of gene expression profiles along with ChIP-chip and motif data from Saccharomyces cerevisiae. By investigating the unique and common features of the obtained condition-specific modules, we detected...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395236/ https://www.ncbi.nlm.nih.gov/pubmed/18171483 http://dx.doi.org/10.1186/gb-2008-9-1-r2 |
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author | Lee, Hun-Goo Lee, Hyo-Soo Jeon, Sang-Hoon Chung, Tae-Hoon Lim, Young-Sung Huh, Won-Ki |
author_facet | Lee, Hun-Goo Lee, Hyo-Soo Jeon, Sang-Hoon Chung, Tae-Hoon Lim, Young-Sung Huh, Won-Ki |
author_sort | Lee, Hun-Goo |
collection | PubMed |
description | We present an approach for identifying condition-specific regulatory modules by using separate units of gene expression profiles along with ChIP-chip and motif data from Saccharomyces cerevisiae. By investigating the unique and common features of the obtained condition-specific modules, we detected several important properties of transcriptional network reorganization. Our approach reveals the functionally distinct coregulated submodules embedded in a coexpressed gene module and provides an effective method for identifying various condition-specific regulatory events at high resolution. |
format | Text |
id | pubmed-2395236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23952362008-05-29 High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae Lee, Hun-Goo Lee, Hyo-Soo Jeon, Sang-Hoon Chung, Tae-Hoon Lim, Young-Sung Huh, Won-Ki Genome Biol Method We present an approach for identifying condition-specific regulatory modules by using separate units of gene expression profiles along with ChIP-chip and motif data from Saccharomyces cerevisiae. By investigating the unique and common features of the obtained condition-specific modules, we detected several important properties of transcriptional network reorganization. Our approach reveals the functionally distinct coregulated submodules embedded in a coexpressed gene module and provides an effective method for identifying various condition-specific regulatory events at high resolution. BioMed Central 2008-01-03 /pmc/articles/PMC2395236/ /pubmed/18171483 http://dx.doi.org/10.1186/gb-2008-9-1-r2 Text en Copyright © 2008 Lee et al.; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Lee, Hun-Goo Lee, Hyo-Soo Jeon, Sang-Hoon Chung, Tae-Hoon Lim, Young-Sung Huh, Won-Ki High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title | High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title_full | High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title_fullStr | High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title_full_unstemmed | High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title_short | High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae |
title_sort | high-resolution analysis of condition-specific regulatory modules in saccharomyces cerevisiae |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395236/ https://www.ncbi.nlm.nih.gov/pubmed/18171483 http://dx.doi.org/10.1186/gb-2008-9-1-r2 |
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