| Literature DB >> 15938750 |
Davin Butt1, Andrew J Roger, Christian Blouin.
Abstract
BACKGROUND: An increasing number of bioinformatics methods are considering the phylogenetic relationships between biological sequences. Implementing new methodologies using the maximum likelihood phylogenetic framework can be a time consuming task.Entities:
Mesh:
Year: 2005 PMID: 15938750 PMCID: PMC1175080 DOI: 10.1186/1471-2105-6-138
Source DB: PubMed Journal: BMC Bioinformatics ISSN: 1471-2105 Impact factor: 3.169
Figure 1The likelihood of a consensus tree. In this example, a file containing trees in NEWICK format is parsed and a consensus tree is resolved using the greedy majority-rule consensus algorithm [9, 21]. Finally, the likelihood of the resulting tree is calculated. Bolded lines are libcov API calls.
High Level functionalities
| I/O | Tree (NEWICK) | |
| Tree manipulation | Random/exhaustive: | [7] |
| Phylogeny | Neighbor Joining | [8] |
| Greedy Majority-rule consensus | [9] | |
| Maximum Likelihood Rates across site modeling Estimation of shape parameter α | [10] | |
| ML confidence intervals | KH | [11] |
| SH | [12] | |
| RELL | [13] | |
| Expected Likelihood Weights | [14] | |
| ML performance | P-matrix caching Chebyshev Polynomial approximation | [15] |
| Substitution matrices | JTT | [16] |
| PAM | [17] | |
| WAG | [18] | |
| Simulation | Protein Sequence Simulation (Rates across sites, rate shifts, site specific frequencies, multiple datasets, likelihood computation) | [5, 19] |
| Random Number generation | [20] Acknowl. Z. Yang for implementation in PAML | |
| Structural Biology | Manipulation / mapping Neighboring site anisotropy (NSA) Geometric transformations Distance/Contact Matrices | [6] |