Genomic clocks and evolutionary timescales.

@article{blairhedges03, abstract = {For decades, molecular clocks have helped to illuminate the evolutionary timescale of life, but now genomic data pose a challenge for time estimation methods. It is unclear how to integrate data from many genes, each potentially evolving under a different model of substitution and at a different rate. Current methods can be grouped by the way the data are handled (genes considered separately or combined into a 'supergene') and the way gene-specific rate models are applied (global versus local clock). There are advantages and disadvantages to each of these approaches, and the optimal method has not yet emerged. Fortunately, time estimates inferred using many genes or proteins have greater precision and appear to be robust to different approaches.}, address = {NASA Astrobiology Institute and Department of Biology, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802-5301, USA. sbh1@psu.edu}, author = {Hedges, Blair S. and Kumar, S. }, citeulike-article-id = {2552554}, issn = {0168-9525}, journal = {Trends Genet}, keywords = {methods, molecular\_clock, review}, month = {April}, number = {4}, pages = {200--206}, posted-at = {2008-05-13 01:20:45}, priority = {2}, title = {Genomic clocks and evolutionary timescales.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12683973}, volume = {19}, year = {2003} }

TY - JOUR ID - blairhedges03 L3 - citeulike-article-id:2552554 N2 - For decades, molecular clocks have helped to illuminate the evolutionary timescale of life, but now genomic data pose a challenge for time estimation methods. It is unclear how to integrate data from many genes, each potentially evolving under a different model of substitution and at a different rate. Current methods can be grouped by the way the data are handled (genes considered separately or combined into a 'supergene') and the way gene-specific rate models are applied (global versus local clock). There are advantages and disadvantages to each of these approaches, and the optimal method has not yet emerged. Fortunately, time estimates inferred using many genes or proteins have greater precision and appear to be robust to different approaches. IS - 4 JF - Trends Genet SN - 0168-9525 AD - NASA Astrobiology Institute and Department of Biology, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802-5301, USA. sbh1@psu.edu EP - 206 TI - Genomic clocks and evolutionary timescales. VL - 19 SP - 200 KW - methods KW - molecular_clock KW - review AU - Hedges, Blair AU - Kumar, S PY - 2003/April// UR - http://view.ncbi.nlm.nih.gov/pubmed/12683973 ER -