Integrative approaches for mining transcriptional regulatory programs in Arabidopsis Export

@article{10815, abstract = {Challenges in modern biology demand shifting focus from components--genes and proteins--to their interacting whole. Integrating information from multiple genomic datasets is seen as a means to this end, capable of providing robust and accurate ways to unravel these functional associations. Integrative strategies, both novel and adapted from other well-studied organisms, are being employed in the model plant Arabidopsis thaliana to interpret genome-wide expression, metabolic profiling and protein interaction studies. Exciting inroads are being made in mining and interpretation of developmental, physiological and environmental-response programs' using sequence and functional information. The fundamental transcriptional regulatory logic is emerging in Arabidopsis, presently revealed as isolated conditional, spatial or temporal regulatory modules'. This immediately calls for efforts towards assembling these building blocks together into a unifying model, thus creating standards for future work to compare with. As a young field, Arabidopsis systems biology is ripe with such an opportunity, now scarcely realizable in other model organisms.}, author = {Krishnan, Arjun and Pereira, Andy}, citeulike-article-id = {3561554}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bfgp/eln035}, citeulike-linkout-1 = {http://bfgp.oxfordjournals.org/cgi/content/abstract/eln035v1}, day = {16}, doi = {10.1093/bfgp/eln035}, journal = {Brief Funct Genomic Proteomic}, keywords = {arabidopsis, biology, data-mining, genomics, network, pathway, plant, regulation, transcription}, month = {July}, pages = {eln035}, posted-at = {2008-11-17 19:41:14}, priority = {3}, title = {Integrative approaches for mining transcriptional regulatory programs in Arabidopsis}, url = {http://dx.doi.org/10.1093/bfgp/eln035}, year = {2008} }

TY - JOUR ID - 10815 L3 - citeulike-article-id:3561554 N2 - Challenges in modern biology demand shifting focus from components--genes and proteins--to their interacting whole. Integrating information from multiple genomic datasets is seen as a means to this end, capable of providing robust and accurate ways to unravel these functional associations. Integrative strategies, both novel and adapted from other well-studied organisms, are being employed in the model plant Arabidopsis thaliana to interpret genome-wide expression, metabolic profiling and protein interaction studies. Exciting inroads are being made in mining and interpretation of developmental, physiological and environmental-response programs' using sequence and functional information. The fundamental transcriptional regulatory logic is emerging in Arabidopsis, presently revealed as isolated conditional, spatial or temporal regulatory modules'. This immediately calls for efforts towards assembling these building blocks together into a unifying model, thus creating standards for future work to compare with. As a young field, Arabidopsis systems biology is ripe with such an opportunity, now scarcely realizable in other model organisms. JF - Brief Funct Genomic Proteomic EP - eln035 TI - Integrative approaches for mining transcriptional regulatory programs in Arabidopsis SP - eln035 KW - arabidopsis KW - biology KW - data-mining KW - genomics KW - network KW - pathway KW - plant KW - regulation KW - transcription AU - Krishnan, Arjun AU - Pereira, Andy PY - 2008/07/16/ UR - http://dx.doi.org/10.1093/bfgp/eln035 ER -