Abstract

This article presents W-IQ-TREE, an intuitive and user-friendly web interface and server for IQ-TREE, an efficient phylogenetic software for maximum likelihood analysis. W-IQ-TREE supports multiple sequence types (DNA, protein, codon, binary and morphology) in common alignment formats and a wide range of evolutionary models including mixture and partition models. W-IQ-TREE performs fast model selection, partition scheme finding, efficient tree reconstruction, ultrafast bootstrapping, branch tests, and tree topology tests. All computations are conducted on a dedicated computer cluster and the users receive the results via URL or email. W-IQ-TREE is available at http://iqtree.cibiv.univie.ac.at. It is free and open to all users and there is no login requirement.

Highlights

  • IQ-TREE [1], the successor of the TREE-PUZZLE program [2], is an efficient and versatile phylogenetic software for maximum likelihood analysis of large phylogenetic data

  • W-IQ-TREE currently runs on a computer cluster with 32 CPUs, which can be extended depending on the usage

  • It provides a web interface to interact with users and send user requests to the computer cluster, where the actual computation is done with the most recent sequential IQ-TREE version

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Summary

INTRODUCTION

IQ-TREE [1], the successor of the TREE-PUZZLE program [2], is an efficient and versatile phylogenetic software for maximum likelihood analysis of large phylogenetic data. Many web applications with intuitive user-interface were developed We present W-IQ-TREE, a user-friendly web application and compute server for phylogenetic analyses with the IQ-TREE software. Since its first launch in April 2014 the numbers of users and submitted jobs are steadily increasing (Figure 1). This is most likely attributed to the user-friendly features presented below. It provides a web interface to interact with users and send user requests to the computer cluster, where the actual computation is done with the most recent sequential IQ-TREE version. We describe important elements of the web interface

Input data
Models of sequence evolution
Model selection
Number of jobs per month
Branch support analysis
Tree topology evaluation and tests
Analysis results
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