%0 Journal Article %1 journals/candc/ShellmanCLBS14 %A Shellman, Erin R. %A Chen, Yu %A Lin, Xiaoxia %A Burant, Charles F. %A Schnell, Santiago %D 2014 %J Computational Biology and Chemistry %K dblp %P 242-250 %T Metabolic network motifs can provide novel insights into evolution: The evolutionary origin of Eukaryotic organelles as a case study. %U http://dblp.uni-trier.de/db/journals/candc/candc53.html#ShellmanCLBS14 %V 53

@article{journals/candc/ShellmanCLBS14, added-at = {2018-11-14T00:00:00.000+0100}, author = {Shellman, Erin R. and Chen, Yu and Lin, Xiaoxia and Burant, Charles F. and Schnell, Santiago}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/292befe9007995253d083ad72823e1a63/dblp}, ee = {https://www.wikidata.org/entity/Q34625995}, interhash = {68f1366feed259aa5be6b8e2ea5dacf1}, intrahash = {92befe9007995253d083ad72823e1a63}, journal = {Computational Biology and Chemistry}, keywords = {dblp}, pages = {242-250}, timestamp = {2019-09-27T10:23:29.000+0200}, title = {Metabolic network motifs can provide novel insights into evolution: The evolutionary origin of Eukaryotic organelles as a case study.}, url = {http://dblp.uni-trier.de/db/journals/candc/candc53.html#ShellmanCLBS14}, volume = 53, year = 2014 }