Estimating Selection Pressures from Limited Comparative Data. Export

@article{citeulike:758009, abstract = {We recently introduced a novel method for estimating selection pressures on proteins, termed "volatility," which requires only a single genome sequence. Some criticisms that have been levied against this approach are valid, but many others are based on misconceptions of volatility, or they apply equally to comparative methods of estimating selection. Here, we introduce a simple regression technique for estimating selection pressures on all proteins in a genome, on the basis of limited comparative data. The regression technique does not depend on an underlying population-genetic mechanism. This new approach to estimating selection across a genome should be more powerful and more widely applicable than volatility itself.}, address = {Harvard Society of Fellows and Bauer Center for Genomics Research, Harvard University, Cambridge MA, USA.}, author = {Plotkin, Joshua B B. and Dushoff, Jonathan and Desai, Michael M M. and Fraser, Hunter B B.}, citeulike-article-id = {758009}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/molbev/msl021}, citeulike-linkout-1 = {http://mbe.oxfordjournals.org/cgi/content/abstract/23/8/1457}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16754640}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16754640}, day = {5}, doi = {10.1093/molbev/msl021}, issn = {0737-4038}, journal = {Mol Biol Evol}, keywords = {evolution}, month = {June}, posted-at = {2006-07-18 16:30:50}, priority = {3}, title = {Estimating Selection Pressures from Limited Comparative Data.}, url = {http://dx.doi.org/10.1093/molbev/msl021}, year = {2006} }

TY - JOUR ID - citeulike:758009 L3 - citeulike-article-id:758009 N2 - We recently introduced a novel method for estimating selection pressures on proteins, termed "volatility," which requires only a single genome sequence. Some criticisms that have been levied against this approach are valid, but many others are based on misconceptions of volatility, or they apply equally to comparative methods of estimating selection. Here, we introduce a simple regression technique for estimating selection pressures on all proteins in a genome, on the basis of limited comparative data. The regression technique does not depend on an underlying population-genetic mechanism. This new approach to estimating selection across a genome should be more powerful and more widely applicable than volatility itself. JF - Mol Biol Evol SN - 0737-4038 AD - Harvard Society of Fellows and Bauer Center for Genomics Research, Harvard University, Cambridge MA, USA. TI - Estimating Selection Pressures from Limited Comparative Data. KW - evolution AU - Plotkin, Joshua B AU - Dushoff, Jonathan AU - Desai, Michael M AU - Fraser, Hunter B PY - 2006/06/05/ UR - http://dx.doi.org/10.1093/molbev/msl021 ER -