Table of Contents
Welcome to Phylemon Wiki
For a quick overview of the new features and enhancements in this version of Phylemon please follow this link: What is new in Phylemon 2.0?
What is Phylemon
Phylemon was born as a natural response to the requirements of data analysis of many experimental researches, working on molecular evolution, phylogenetics and systematics.
Phylemon does not intend to be a collection of as-many-methods-as-possible, but an integrated tool able to provide a simple, easy but rigorous solution to most concise (and some complex) scientific questions that can arise in the step of phylogenetics and evolution.
Who is behind Phylemon
Phylemon has been developed under the supervision of Hernán Dopazo, head of the Evolutionary Genomics Unit (http://hdopazo.bioinfo.cipf.es) at Bioinformatics and Genomics Department (http://bioinfo.cipf.es), Centro de Investigación Príncipe Felipe, Valencia, Spain (http://www.cipf.es). Phylemon is the collective effort of a group of people, the Phylemon team (see below).
Supervisors
- Hernán Dopazo
- Joaquín Dopazo
The Phylemon team
- Ruben Sanchez García
- Francois Serra
- Joaquín Tárraga
- Ignacio Medina
- Jose Carbonell
- Salvador Capella Gutiérrez
- Toni Gabaldón
- Jaime Huerta
- Leonardo Arbiza
External software and packages
- ClustalW
- Muscle
- Phylip
- MrBayes
- PhyML
- TreePuzzle
- PAML
- SLR
- RRTree
- ProtTest
- jModelTest
- HYPHY
- LAGAN
- ETE
- Archeopteryx
- trimAl
Acknowledgements
The name “Phylemon” is a reference to the famous comic strip character Filemón. Filemón was created in 1958 by Francisco Ibañez, and the adventures of this unconventional secret-agent and his companion Mortadelo are narrated in the comic strip series Mortadelo y Filemón. You can get more info in the official website www.mortadeloyfilemon.com. We acknowledge Francisco Ibañez for the use of this image.
Feedback
For comments, bug reports, suggestions for improvement, please contact us.
When reporting a bug or any apparent misfunction, please try to include as much information as possible about the problem, such as the programs and ALL the options you used. In many cases the data used help a lot too.
