Skip Navigation


Bioinformatics Advance Access originally published online on July 14, 2006
Bioinformatics 2006 22(18):2313-2314; doi:10.1093/bioinformatics/btl387
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
22/18/2313    most recent
btl387v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (1)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Buendia, P.
Right arrow Articles by Narasimhan, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Buendia, P.
Right arrow Articles by Narasimhan, G.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Serial NetEvolve: a flexible utility for generating serially-sampled sequences along a tree or recombinant network

Patricia Buendia and Giri Narasimhan *

1 Bioinformatics Research Group (BioRG), School of Computing and Information Science, Florida International University Miami, FL 33199, USA

*To whom correspondence should be addressed.

Summary: Serial NetEvolve is a flexible simulation program that generates DNA sequences evolved along a tree or recombinant network. It offers a user-friendly Windows graphical interface and a Windows or Linux simulator with a diverse selection of parameters to control the evolutionary model. Serial NetEvolve is a modification of the Treevolve program with the following additional features: simulation of serially-sampled data, the choice of either a clock-like or a variable rate model of sequence evolution, sampling from the internal nodes and the output of the randomly generated tree or network in our newly proposed NeTwick format.

Availability: From website http://biorg.cis.fiu.edu/SNE

Contacts: giri{at}cis.fiu.edu

Supplementary information: Manual and examples available from http://biorg.cis.fiu.edu/SNE


Received on May 1, 2006; revised on July 5, 2006; accepted on July 6, 2006

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
P. Buendia and G. Narasimhan
Sliding MinPD: building evolutionary networks of serial samples via an automated recombination detection approach
Bioinformatics, November 15, 2007; 23(22): 2993 - 3000.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.