IDEA: Interactive Display for Evolutionary Analyses View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12-08

AUTHORS

Amy Egan, Anup Mahurkar, Jonathan Crabtree, Jonathan H Badger, Jane M Carlton, Joana C Silva

ABSTRACT

BackgroundThe availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints and other molecular evolution variables of interest an increasingly important approach to addressing broad evolutionary questions. Two of the programs most widely used for this purpose are codeml and baseml, parts of the PAML (Phylogenetic Analysis by Maximum Likelihood) suite. A significant drawback of these programs is their lack of a graphical user interface, which can limit their user base and considerably reduce their efficiency.ResultsWe have developed IDEA (Interactive Display for Evolutionary Analyses), an intuitive graphical input and output interface which interacts with PHYLIP for phylogeny reconstruction and with codeml and baseml for molecular evolution analyses. IDEA's graphical input and visualization interfaces eliminate the need to edit and parse text input and output files, reducing the likelihood of errors and improving processing time. Further, its interactive output display gives the user immediate access to results. Finally, IDEA can process data in parallel on a local machine or computing grid, allowing genome-wide analyses to be completed quickly.ConclusionIDEA provides a graphical user interface that allows the user to follow a codeml or baseml analysis from parameter input through to the exploration of results. Novel options streamline the analysis process, and post-analysis visualization of phylogenies, evolutionary rates and selective constraint along protein sequences simplifies the interpretation of results. The integration of these functions into a single tool eliminates the need for lengthy data handling and parsing, significantly expediting access to global patterns in the data. More... »

PAGES

524

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-9-524

DOI

http://dx.doi.org/10.1186/1471-2105-9-524

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047690655

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19061522


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