Difference between revisions of "MCL"

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[[Category:Software]][[Category:Biology]][[Category:Genomics]]
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{|<!--Main settings - REQUIRED-->
<!--Edit definitions of the variables used in template calls
 
Required variables:
 
app - lowercase name of the application e.g. "amber"
 
url - url of the software page (project, company product, etc) - e.g. "http://ambermd.org/"
 
Optional variables:
 
INTEL - Version of the Intel Compiler e.g. "11.1"
 
MPI - MPI Implementation and version e.g. "openmpi/1.3.4"
 
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{|
 
<!--Main settings - REQUIRED-->
 
 
|{{#vardefine:app|mcl}}
 
|{{#vardefine:app|mcl}}
 
|{{#vardefine:url|http://www.micans.org/mcl/}}
 
|{{#vardefine:url|http://www.micans.org/mcl/}}
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|{{#vardefine:intel|}} <!-- E.g. "11.1" -->
 
|{{#vardefine:mpi|}} <!-- E.g. "openmpi/1.3.4" -->
 
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|{{#vardefine:mod|1}} <!--Present instructions for running the software with modules -->
 
 
|{{#vardefine:exe|}} <!--Present manual instructions for running the software -->
 
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<!--Description-->
 
<!--Description-->
 
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The MCL algorithm is short for the Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for networks (also known as graphs) based on simulation of (stochastic) flow in graphs. The algorithm was invented/discovered by Stijn van Dongen (that is, me) at the Centre for Mathematics and Computer Science (also known as CWI) in the Netherlands. The PhD thesis Graph clustering by flow simulation is centered around this algorithm, the main topics being the mathematical theory behind it, its position in cluster analysis and graph clustering, issues concerning scalability, implementation, and benchmarking, and performance criteria for graph clustering in general. The work for this thesis was carried out under supervision of Jan van Eijck and Michiel Hazewinkel.
 
The MCL algorithm is short for the Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for networks (also known as graphs) based on simulation of (stochastic) flow in graphs. The algorithm was invented/discovered by Stijn van Dongen (that is, me) at the Centre for Mathematics and Computer Science (also known as CWI) in the Netherlands. The PhD thesis Graph clustering by flow simulation is centered around this algorithm, the main topics being the mathematical theory behind it, its position in cluster analysis and graph clustering, issues concerning scalability, implementation, and benchmarking, and performance criteria for graph clustering in general. The work for this thesis was carried out under supervision of Jan van Eijck and Michiel Hazewinkel.
<!--Location-->
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<!--Modules-->
{{App_Location|app={{#var:app}}|{{#var:ver}}}}
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==Environment Modules==
==Available versions==
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
* 11-335
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==System Variables==
<!-- -->
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
{{#if: {{#var: mod}}|==Running the application using modules==
 
{{App_Module|app={{#var:app}}|intel={{#var:intel}}|mpi={{#var:mpi}}}}|}}
 
 
* HPC_MCL_* HPC_MCL_BIN - executable directory
 
* HPC_MCL_* HPC_MCL_BIN - executable directory
 
* HPC_MCL_DOC - documentation directory
 
* HPC_MCL_DOC - documentation directory
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{{#if: {{#var: pbs}}|==PBS Script Examples==
 
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See the [[{{PAGENAME}}_PBS]] page for {{#var: app}} PBS script examples.|}}
{{#if: {{#var: policy}}|==Usage policy==
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{{#if: {{#var: policy}}|==Usage Policy==
 
WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)|}}
 
WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)|}}
 
{{#if: {{#var: testing}}|==Performance==
 
{{#if: {{#var: testing}}|==Performance==

Latest revision as of 18:28, 18 August 2022

Description

mcl website  

The MCL algorithm is short for the Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for networks (also known as graphs) based on simulation of (stochastic) flow in graphs. The algorithm was invented/discovered by Stijn van Dongen (that is, me) at the Centre for Mathematics and Computer Science (also known as CWI) in the Netherlands. The PhD thesis Graph clustering by flow simulation is centered around this algorithm, the main topics being the mathematical theory behind it, its position in cluster analysis and graph clustering, issues concerning scalability, implementation, and benchmarking, and performance criteria for graph clustering in general. The work for this thesis was carried out under supervision of Jan van Eijck and Michiel Hazewinkel.

Environment Modules

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

System Variables

  • HPC_MCL_DIR - installation directory
  • HPC_MCL_* HPC_MCL_BIN - executable directory
  • HPC_MCL_DOC - documentation directory
  • HPC_MCL_MAN - manpage directory