Difference between revisions of "MACS"

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(Created page with "=Usage= To load the MACS environment: $module load macs =Docs= To show the description: $module spider macs/1.4.1 '''After the macs module is loaded''' See the command argum…")
 
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=Usage=
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__NOTOC__
To load the MACS environment:
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__NOEDITSECTION__
  $module load macs
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[[Category:Software]][[Category:Bioinformatics]][[Category:NGS]]
 
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<!-- ########  Template Configuration ######## -->
=Docs=
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<!--Edit definitions of the variables used in template calls
To show the description:
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Required variables:
$module spider macs/1.4.1
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app - lowercase name of the application e.g. "amber"
 
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url - url of the software page (project, company product, etc) - e.g. "http://ambermd.org/"
'''After the macs module is loaded'''
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Optional variables:
 
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INTEL - Version of the Intel Compiler e.g. "11.1"
See the command arguments:
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MPI - MPI Implementation and version e.g. "openmpi/1.3.4"
$macs14
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-->
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{|
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<!--Main settings - REQUIRED-->
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|{{#vardefine:app|macs}}
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|{{#vardefine:url|http://liulab.dfci.harvard.edu/MACS/index.html}}
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<!--Compiler and MPI settings - OPTIONAL -->
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|{{#vardefine:intel|}} <!-- E.g. "11.1" -->
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|{{#vardefine:mpi|}} <!-- E.g. "openmpi/1.3.4" -->
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<!--Choose sections to enable - OPTIONAL-->
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|{{#vardefine:mod|1}} <!--Present instructions for running the software with modules -->
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|{{#vardefine:exe|}} <!--Present manual instructions for running the software -->
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|{{#vardefine:conf|}} <!--Enable config wiki page link - {{#vardefine:conf|1}} = ON/conf|}} = OFF-->
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|{{#vardefine:pbs|}} <!--Enable PBS script wiki page link-->
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|{{#vardefine:policy|}} <!--Enable policy section -->
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|{{#vardefine:testing|}} <!--Enable performance testing/profiling section -->
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|{{#vardefine:faq|}} <!--Enable FAQ section -->
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|{{#vardefine:citation|1}} <!--Enable Reference/Citation section -->
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|}
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<!-- ######## Template Body ######## -->
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<!--Description-->
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{{#if: {{#var: url}}|
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{{App_Description|app={{#var:app}}|url={{#var:url}}}}|}}
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Next generation parallel sequencing technologies made chromatin immunoprecipitation followed by sequencing (ChIP-Seq) a popular strategy to study genome-wide protein-DNA interactions, while creating challenges for analysis algorithms. We present Model-based Analysis of ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer (Illumina / Solexa). MACS empirically models the length of the sequenced ChIP fragments, which tends to be shorter than sonication or library construction size estimates, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome sequence, allowing for more sensitive and robust prediction. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, is publicly available open source, and can be used for ChIP-Seq with or without control samples.
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[http://aluru-sun.ece.iastate.edu/doku.php?id=reptile Upstream documentation] for {{#var:app}}.
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<!--Location-->
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{{App_Location|app={{#var:app}}|{{#var:ver}}}}
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==Available Versions==
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* 1.4.1 (EL5)
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* 1.4.2 (EL6)
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{{#if: {{#var: mod}}|==Running the application using modules==
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{{App_Module|app={{#var:app}}|intel={{#var:intel}}|mpi={{#var:mpi}}}}|}}
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* HPC_MACS_BIN - Executable directory
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{{#if: {{#var: exe}}|==How To Run==
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|}}
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{{#if: {{#var: conf}}|==Configuration==
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See the [[{{PAGENAME}}_Configuration]] page for {{#var: app}} configuration details.
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|}}
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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.|}}
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{{#if: {{#var: policy}}|==Usage policy==
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WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)
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|}}
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{{#if: {{#var: testing}}|==Performance==
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WRITE PERFORMANCE TESTING RESULTS HERE|}}
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{{#if: {{#var: faq}}|==FAQ==
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*'''Q:''' **'''A:'''
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|}}
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{{#if: {{#var: citation}}|==Citation==
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If you publish research that uses {{#var: app}} you have to cite it as follows:
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Zhang et al. Model-based Analysis of ChIP-Seq (MACS). Genome Biol (2008) vol. 9 (9) pp. R137
 +
|}}

Revision as of 20:23, 1 August 2012

Description

{{{name}}} website  
Next generation parallel sequencing technologies made chromatin immunoprecipitation followed by sequencing (ChIP-Seq) a popular strategy to study genome-wide protein-DNA interactions, while creating challenges for analysis algorithms. We present Model-based Analysis of ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer (Illumina / Solexa). MACS empirically models the length of the sequenced ChIP fragments, which tends to be shorter than sonication or library construction size estimates, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome sequence, allowing for more sensitive and robust prediction. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, is publicly available open source, and can be used for ChIP-Seq with or without control samples. Upstream documentation for macs. Template:App Location

Available Versions

  • 1.4.1 (EL5)
  • 1.4.2 (EL6)

Running the application using modules

To use macs with the environment modules system at HPC the following commands are available:

Get module information for macs:

$module spider macs

Load the default application module:

$module load macs

The modulefile for this software adds the directory with executable files to the shell execution PATH and sets the following environment variables:

  • HPC_MACS_DIR - directory where macs is located.
  • HPC_MACS_BIN - Executable directory




Citation

If you publish research that uses macs you have to cite it as follows: Zhang et al. Model-based Analysis of ChIP-Seq (MACS). Genome Biol (2008) vol. 9 (9) pp. R137