Postdoctoral Fellow
I propose to develop new software for heuristic
maximum likelihood (ML) estimation
to obtain better results on large datasets more
efficiently.
I propose to design and implement disk-covering methods
(DCM) for maximum likelihood. Disk-covering methods are divide-and-conquer
algorithmic techniques and have recently been applied with a lot of success
to maximum parsimony
Simultaneously,
I propose to design and implement new algorithms for identifying
common patterns in area cladograms occurring in biogeography. Common
patterns observed among area cladograms of different groups of species in
the same region can give valuable insights about the processes that led to
the current geographic distribution of species.
New dcm methods for ml, and pattern identification in biogeography
| PI(s): | Ganeshkumar Ganapathy |
| Start Date: | 1-Dec-2006 |
| End Date: | 30-Nov-2009 |
| Keywords: | maximum likelihood, biogeography, computational modeling |
I propose to develop new software for heuristic maximum likelihood (ML) estimation
to obtain better results on large datasets more
efficiently.
I propose to design and implement disk-covering methods
(DCM) for maximum likelihood. Disk-covering methods are divide-and-conquer
algorithmic techniques and have recently been applied with a lot of success
to maximum parsimony
Simultaneously,
I propose to design and implement new algorithms for identifying
common patterns in area cladograms occurring in biogeography. Common
patterns observed among area cladograms of different groups of species in
the same region can give valuable insights about the processes that led to
the current geographic distribution of species.
Related products
Software and DatasetsPublications- Linking big: the continuing promise of evolutionary synthesis Sidlauskas, B., G. Ganapathy, E. Hazkani-Covo, K.P. Jenkins, H. Lapp, L.W. McCall, S. Price, R. Scherle, P.A. Spaeth, and D.M. Kidd (2010). Linking big: the continuing promise of evolutionary synthesis. Evolution 64(4): 871-880.
- Ancestral population genomics: the coalescent hidden Markov model approach Dutheil, J.Y., G. Ganapathy, A. Hobolth, T. Mailund, M.K. Uyenoyama, and M.H. Schierup (2009). Ancestral population genomics: the coalescent hidden Markov model approach. Genetics 183: 259-274.
- Site frequency spectra from genomic SNP surveys Ganapathy, G. and M.K. Uyenoyama (2009). Site frequency spectra from genomic SNP surveys. Theoretical Population Biology 75(4): 346-354.
