Difference between revisions of "V-Phaser"

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If you publish research that uses {{#var:app}} you have to cite it as follows:
 
If you publish research that uses {{#var:app}} you have to cite it as follows:
  
Yang X, Charlebois P, Macalalad A, Henn MR, and Zody MC. (2013) V-Phaser 2.0: Variant Inference for Viral Populations. BMC Genomics 14:674.
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[http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-14-674 Yang X, Charlebois P, Macalalad A, Henn MR, and Zody MC. (2013) V-Phaser 2.0: Variant Inference for Viral Populations. BMC Genomics 14:674.]
  
 
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Latest revision as of 20:07, 27 May 2022

Description

vphaser2 website  

V-Phaser 2 is a tool to call variants in genetically heterogeneous populations from ultra-deep sequence data. It combines information regarding the covariation (i.e. phasing) between observed variants to increase sensitivity and an expectation maximization algorithm that iteratively recalibrates base quality scores to increase specificity. V-Phaser can reliably detect rare variants in diverse populations that occur at frequencies of <1%. V-Phaser 2 is a complete rewrite of the original V-Phaser. It contains a new model for length polymorphisms (indels) and incorporates paired end read information in its phasing model. The data access and probability computation sections of the code have also been highly optimized, resulting in substantial improvements in running time and memory usage.

Environment Modules

Run module spider vphaser2 to find out what environment modules are available for this application.

System Variables

  • HPC_VPHASER2_DIR - installation directory
  • HPC_VPHASER2_BIN - executable directory
  • HPC_VPHASER2_DOC - documentation directory
  • HPC_VPHASER2_EXE - testdata directory




Citation

If you publish research that uses vphaser2 you have to cite it as follows:

Yang X, Charlebois P, Macalalad A, Henn MR, and Zody MC. (2013) V-Phaser 2.0: Variant Inference for Viral Populations. BMC Genomics 14:674.