| Literature DB >> 15353448 |
Eric W Price1, Ignazio Carbone.
Abstract
UNLABELLED: The reconstruction of population processes from DNA sequence variation requires the coordinated implementation of several coalescent-based methods, each bound by specific assumptions and limitations. In practice, the application of these coalescent-based methods for parameter estimation is difficult because they make strict assumptions that must be verified a priori and their parameter-rich nature makes the estimation of all model parameters very complex and computationally intensive. A further complication is their distribution as console applications that require the user to navigate through console menus or specify complex command-line arguments. To facilitate the implementation of these coalescent-based tools we developed SNAP Workbench, a Java program that manages and coordinates a series of programs. The workbench enhances population parameter estimation by ensuring that the assumptions and program limitations of each method are met and by providing a step-by-step methodology for examining population processes that integrates both summary-statistic methods and coalescent-based population genetic models. AVAILABILITY: SNAP Workbench is freely available at http://snap.cifr.ncsu.edu. The workbench and tools can be downloaded for Mac, Windows and Unix operating systems. Each package includes installation instructions, program documentation and a sample dataset. SUPPLEMENTARY INFORMATION: A description of system requirements and installation instructions can be found at http://snap.cifr.ncsu.edu.Mesh:
Year: 2004 PMID: 15353448 DOI: 10.1093/bioinformatics/bti003
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937