title: Detecting slow-translating regions in E.coli.
abstract: We present an application of the spatial scan statistic to identifying clusters of slow-translating codons in E.coli. We use an estimate of the time taken to process each codon based on the availability of transfer RNA. We analyse our findings using experimental measurements, and provide support for a well-known hypothesis related to the process of protein production.
authors.affiliation: Computational Biology Service Unit, Cornell University, Ithaca, NY 14853, USA. lp257@cornell.edu
authors.forename: Lalit
authors.initials: L
authors.lastname: Ponnala
mesh_terms: D003062:Codon / Q000737:chemistry*; D019295:Computational Biology / Q000379:methods*; D004926:Escherichia coli / Q000235:genetics* / Q000378:metabolism; D014176:Protein Biosynthesis; D011506:Proteins / Q000235:genetics; D012333:RNA, Messenger / Q000378:metabolism; D012343:RNA, Transfer
chemical_list: D003062:Codon; D011506:Proteins; D012333:RNA, Messenger; D012343:RNA, Transfer