%0 Journal Article %1 Kuchaiev2011Integrative %A Kuchaiev, Oleksii %A Przulj, Natasa %D 2011 %I Oxford University Press %J Bioinformatics %K alignment comparative-analysis human network-alignment networks %N 10 %P 1390--1396 %R 10.1093/bioinformatics/btr127 %T Integrative Network Alignment Reveals Large Regions of Global Network Similarity in Yeast and Human %U http://dx.doi.org/10.1093/bioinformatics/btr127 %V 27 %X Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alignment, efficient and reliable network alignment methods are expected to improve our understanding of biological systems. Unlike sequence alignment, network alignment is computationally intractable. Hence, devising efficient network alignment heuristics is currently a foremost challenge in computational biology.

@article{Kuchaiev2011Integrative, abstract = {Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alignment, efficient and reliable network alignment methods are expected to improve our understanding of biological systems. Unlike sequence alignment, network alignment is computationally intractable. Hence, devising efficient network alignment heuristics is currently a foremost challenge in computational biology.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Kuchaiev, Oleksii and Pr\v{z}ulj, Nata\v{s}a}, biburl = {https://www.bibsonomy.org/bibtex/2a358128cab8a61b130ae0c461b41bc95/karthikraman}, citeulike-article-id = {9008028}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btr127}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/27/10/1390.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/27/10/1390.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/27/10/1390}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/21414992}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=21414992}, day = 16, doi = {10.1093/bioinformatics/btr127}, interhash = {d45990a3ea87e4e6580854074ba8c802}, intrahash = {a358128cab8a61b130ae0c461b41bc95}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {alignment comparative-analysis human network-alignment networks}, month = mar, number = 10, pages = {1390--1396}, pmid = {21414992}, posted-at = {2011-03-28 09:18:32}, priority = {2}, publisher = {Oxford University Press}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Integrative Network Alignment Reveals Large Regions of Global Network Similarity in Yeast and Human}, url = {http://dx.doi.org/10.1093/bioinformatics/btr127}, volume = 27, year = 2011 }