Putting the 'bio' into bioinformatics

Biology Letters

Volumn 5, Issue 3, 2009, Pages 391-393

  Bromham, Lindell ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Alignment; Barcoding; Molecular evolution; Mutation; Relaxed clocks; Substitution

Indexed keywords

ANALYTICAL METHOD; BIOCHEMISTRY; BIOINFORMATICS; GENETIC VARIATION; GENOME; MEDICINE; MUTATION; POPULATION SIZE; SELECTION;

BIOINFORMATICS; DNA DETERMINATION; GENOMICS; MOLECULAR EVOLUTION; MUTATION RATE; NONHUMAN; POPULATION SIZE; PRIORITY JOURNAL; REVIEW; STOCHASTIC MODEL; BIOLOGICAL MODEL; BIOLOGY; EDITORIAL; GENETICS; GENOME; METHODOLOGY; MUTATION;

DNA;

COMPUTATIONAL BIOLOGY; DNA; EVOLUTION, MOLECULAR; GENOME; MODELS, GENETIC; MUTATION;

EID: 67649118283     PISSN: 17449561     EISSN: 1744957X     Source Type: Journal    
DOI: 10.1098/rsbl.2009.0227     Document Type: Review

References (13)

1. Barraclough, T. G., Hughes, M., Ashford-Hodges, N. & Fujisawa, T. 2009 Inferring evolutionarily significant units of bacterial diversity from broad environmental surveys of single-locus data. Biol. Lett. 5, 425-428. (doi:10.1098/rsbl.2009.0091)
2. Bromham, L. 2009 Why do species vary in their rate of molecular evolution? Biol. Lett. 5, 401-404. (doi:10.1098/rsbl.2009.0136)
3. Elango, N., Lee, J., Peng, Z., Loh, Y.-H. E. & Yi, S. V. 2009 Evolutionary rate variation in Old World monkeys. Biol. Lett. 5, 405-408. (doi:10.1098/rsbl.2008.0712)
4. Ettema, T. J. G. & Andersson, S. G. E. 2009 The α- proteobacteria: the Darwin finches in the bacterial world. Biol. Lett. 5, 429-432. (doi:10.1098/rsbl.2008.0793)
5. Galtier, N., Jobson, R. W., Nabholz, B., Glémin, S. & Blier, P. U. 2009 Mitochondrial whims: metabolic rate, longevity and the rate of molecular evolution. Biol. Lett. 5, 413-416. (doi:10.1098/rsbl.2008.0662)
6. Gatesy, J. 2007 A tenth crucial question regarding model use in phylogenetics. Trends Ecol. Evol. 22, 509-510. (doi:10.1016/j.tree.2007.08.002)
7. Hendy, M. D., Woodhams, M. D. & Dodd, A. 2009 Modelling mitochondrial site polymorphisms to infer the number of segregating units and mutation rate. Biol. Lett. 5, 397-400. (doi:10.1098/rsbl.2009.0104)
8. Ho, S. Y. W. 2009 An examination of phylogenetic models of substitution rate variation among lineages. Biol. Lett. 5, 421-424. (doi:10.1098/rsbl.2008. 0729)
9. Mank, J. E. & Ellegren, H. 2009 Are sex-biased genes more dispensable? Biol. Lett. 5, 409-412. (doi:10.1098/rsbl.2008.0732)
10. Otto, S. P. 2000 Detecting the form of selection from DNA sequence data. Trends Genet. 16, 526-529. (doi:10.1016/S0168-9525(00)02141-7)
11. Sanjuan, R., Agudelo-Romero, P. & Elena, S. F. 2009 Upper limit mutation rate estimation for a plant RNA virus. Biol. Lett. 5, 394-396. (doi:10.1098/rsbl.2008.0762)
12. Welch, J. J. & Bromham, L. 2005 Molecular dating when rates vary. Trends Ecol. Evol. 20, 320-327. (doi:10.1016/j.tree.2005.02.007)
13. Woolfit, M. 2009 Effective population size and the rate and pattern of nucleotide substitutions. Biol. Lett. 5, 417-420. (doi:10.1098/rsbl.2009.0155)