Perturbations to uncover gene networks. Export

@article{tegner:2007, abstract = {After the major achievements of the DNA sequencing projects, an equally important challenge now is to uncover the functional relationships among genes (i.e. gene networks). It has become increasingly clear that computational algorithms are crucial for extracting meaningful information from the massive amount of data generated by high-throughput genome-wide technologies. Here, we summarise how systems identification algorithms, originating from physics and control theory, have been adapted for use in biology. We also explain how experimental perturbations combined with genome-wide measurements are being used to uncover gene networks. Perturbation techniques could pave the way for identifying gene networks in more complex settings such as multifactorial diseases and for improving the efficacy of drug evaluation.}, address = {Division of Computational Biology, Department of Physics, Chemistry and Biology, The Institute of Technology, Link\"{o}ping University, SE-581 83 Link\"{o}ping, Sweden; Unit of Computational Medicine, Center for Genomics and Bioinformatics, Karolinska Institutet, SE-171 77 Stockholm, Sweden; The Computational Medicine Group, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Solna, SE-171 76 Stockholm, Sweden.}, author = {Tegn\'{e}r, Jesper and Bj\"{o}rkegren, Johan}, citeulike-article-id = {958619}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.tig.2006.11.003}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0168952506003684}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17098324}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17098324}, citeulike-linkout-4 = {http://www.sciencedirect.com/science/article/B6TCY-4MBCB8C-1/2/5b192a57f9fe57d70c17038ed8c3dfb9}, day = {10}, doi = {10.1016/j.tig.2006.11.003}, issn = {0168-9525}, journal = {Trends Genet}, keywords = {rnai}, month = {November}, posted-at = {2009-02-24 20:54:39}, priority = {2}, title = {Perturbations to uncover gene networks.}, url = {http://dx.doi.org/10.1016/j.tig.2006.11.003}, year = {2006} }

TY - JOUR ID - tegner:2007 L3 - citeulike-article-id:958619 N2 - After the major achievements of the DNA sequencing projects, an equally important challenge now is to uncover the functional relationships among genes (i.e. gene networks). It has become increasingly clear that computational algorithms are crucial for extracting meaningful information from the massive amount of data generated by high-throughput genome-wide technologies. Here, we summarise how systems identification algorithms, originating from physics and control theory, have been adapted for use in biology. We also explain how experimental perturbations combined with genome-wide measurements are being used to uncover gene networks. Perturbation techniques could pave the way for identifying gene networks in more complex settings such as multifactorial diseases and for improving the efficacy of drug evaluation. JF - Trends Genet SN - 0168-9525 AD - Division of Computational Biology, Department of Physics, Chemistry and Biology, The Institute of Technology, Linköping University, SE-581 83 Linköping, Sweden; Unit of Computational Medicine, Center for Genomics and Bioinformatics, Karolinska Institutet, SE-171 77 Stockholm, Sweden; The Computational Medicine Group, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Solna, SE-171 76 Stockholm, Sweden. TI - Perturbations to uncover gene networks. KW - rnai AU - Tegnér, Jesper AU - Björkegren, Johan PY - 2006/11/10/ UR - http://dx.doi.org/10.1016/j.tig.2006.11.003 ER -