Allen G Rodrigo, Adjunct Professor  

Allen G Rodrigo

My research focuses on evolutionary bioinformatics and computatioanl biology. In particular, I am interested in the development of novel methods to study the evolution of genes, genomes, organisms and species.

    Education:
    Ph.D., University of Canterbury (New Zealand), 1990

    Office Location: 137
    Office Phone: (919) 684-1698
    Email Address: a.rodrigo@nescent.org
    Web Page: http://biology.duke.edu/rodrigolab
    Additional Web Page: http://biology.duke.edu/rodrigolab

    Specialties:
    Evolution
    Genetics
    Genomics

    Research Categories: Computational evolutionary biology

    Research Description:

    My research focuses on evolutionary bioinformatics and computatioanl biology. In particular, I am interested in the development of novel methods to study the evolution of genes, genomes, organisms and species.

      Areas of Interest:
      The evolution of rapidly evolving pathogens
      The estimation of evolutionary rates and divergence times
      Statistical phylogenetics
      Phylogenetic methods in conservation
      Computational evolutionary biology

      Representative Publications   (More Publications)   (search)

      1. Hayward, JJ; Rodrigo, AG, The distribution of feline immunodeficiency virus in tissue compartments of feral domestic cats., Archives of Virology, vol. 155 no. 3 (March, 2010), pp. 411-416 [20112119], [doi] .
      2. Abbott, WG; Tsai, P; Leung, E; Trevarton, A; Ofanoa, M; Hornell, J; Gane, EJ; Munn, SR; Rodrigo, AG, Associations between HLA class I alleles and escape mutations in the hepatitis B virus core gene in New Zealand-resident Tongans., Journal of virology, vol. 84 no. 1 (January, 2010), pp. 621-629 [19846510], [doi]  [abs].
      3. Marks, EJ; Rodrigo, AG; Brunton, DH, Using logistic regression models to predict breeding success in male Adélie penguins (Pygoscelis adeliae), Polar Biology, vol. 33 no. 8 (2010), pp. 1083-1094 [doi]  [abs].
      4. Marks, EJ; Rodrigo, AG; Brunton, DH, Ecstatic display calls of the Adélie penguin honestly predict male condition and breeding success, Behaviour, vol. 147 no. 2 (2010), pp. 165-184 [doi]  [abs].
      5. Li, WL; Rodrigo, AG, Covariation of branch lengths in phylogenies of functionally related genes., PloS one, vol. 4 no. 12 (December, 2009), pp. e8487 [20041191], [doi]  [abs].
      6. Rodrigo, AG; Tsai, P; Shearman, H, On the use of bootstrapped topologies in coalescent-based Bayesian MCMC inference: a comparison of estimation and computational efficiencies., Evolutionary bioinformatics online, vol. 5 (July, 2009), pp. 97-105 [19812730]  [abs].
      7. Rodrigo, A; Bertels, F; Heled, J; Noder, R; Shearman, H; Tsai, P, The perils of plenty: What are we going to do with all these genes?, Philosophical Transactions B, vol. 363 no. 1512 (2008), pp. 3893-3902 [18852100], [doi]  [abs].
      8. Bordewich, M; Rodrigo, AG; Semple, C, Selecting taxa to save or sequence: desirable criteria and a greedy solution., Systematic Biology (OUP), vol. 57 no. 6 (December, 2008), pp. 825-834 [19085326], [doi]  [abs].
      9. Steel, M; Rodrigo, A, Maximum likelihood supertrees, Systematic Biology (OUP), vol. 57 no. 2 (2008), pp. 243-250 [18398769], [doi]  [abs].
      10. Lim, SG; Cheng, Y; Guindon, S; Seet, BL; Lee, LY; Hu, P; Wasser, S; Peter, FJ; Tan, T; Goode, M; Rodrigo, AG, Viral quasi-species evolution during hepatitis Be antigen seroconversion., Gastroenterology, vol. 133 no. 3 (September, 2007), pp. 951-958 [17854598], [doi]  [abs].
      11. Guindon, S; Black, M; Rodrigo, A, Control of the false discovery rate applied to the detection of positively selected amino acid sites, Molecular Biology and Evolution, vol. 23 no. 5 (2006), pp. 919-926 [16423864], [doi]  [abs].

      Curriculum Vitae

      NESCent contact information:

      • 2024 W. Main St., Suite 200
      •  Durham NC 27705-4667
      •  919-668-4551, 919-668-4593
      •  fax 919-668-9198