Difference between revisions of "Quickquartet"

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This project contains the QuickQuartet algorithm for computing the all-to-all quartet distance for large evolutionary tree collections. By leveraging the relationship between bipartitions and quartets, our approach significantly improves upon the performance of existing quartet distance algorithms. Experimental results show that QuickQuartet is up to 100 times faster than existing methods. With the availability of QuickQuartet, the use of quartet distance as a tool for analysis of evolutionary relationships becomes a practical tool for biologists to use in order to gain new insights regarding their large tree collections.
 
This project contains the QuickQuartet algorithm for computing the all-to-all quartet distance for large evolutionary tree collections. By leveraging the relationship between bipartitions and quartets, our approach significantly improves upon the performance of existing quartet distance algorithms. Experimental results show that QuickQuartet is up to 100 times faster than existing methods. With the availability of QuickQuartet, the use of quartet distance as a tool for analysis of evolutionary relationships becomes a practical tool for biologists to use in order to gain new insights regarding their large tree collections.
 
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<!--Modules-->
==Required Modules==
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==Environment Modules==
===Serial===
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
* {{#var:app}}
 
<!--
 
===Parallel (OpenMP)===
 
* intel
 
* {{#var:app}}
 
===Parallel (MPI)===
 
* intel
 
* openmpi
 
* {{#var:app}}
 
-->
 
 
==System Variables==
 
==System Variables==
* HPC_{{uc:{{#var:app}}}}_DIR
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==
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__NOTOC____NOEDITSECTION__
 
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=Validation=
 
* Validated 4/5/2018
 

Revision as of 20:42, 10 June 2022

Description

quickquartet website  

This project contains the QuickQuartet algorithm for computing the all-to-all quartet distance for large evolutionary tree collections. By leveraging the relationship between bipartitions and quartets, our approach significantly improves upon the performance of existing quartet distance algorithms. Experimental results show that QuickQuartet is up to 100 times faster than existing methods. With the availability of QuickQuartet, the use of quartet distance as a tool for analysis of evolutionary relationships becomes a practical tool for biologists to use in order to gain new insights regarding their large tree collections.

Environment Modules

Run module spider quickquartet to find out what environment modules are available for this application.

System Variables

  • HPC_QUICKQUARTET_DIR - installation directory