wANNOVAR pipeline

wANNOVAR specifications

Information


Unique identifier OMICS_00194
Name wANNOVAR
Interface Web user interface
Restrictions to use None
Input data A list of variants.
Computer skills Basic
Stability Stable
Maintained Yes

Taxon


  • Animals
    • Homo sapiens

Maintainer


  • person_outline Kai Wang <>

Publication for wANNOVAR

wANNOVAR citations

 (3)
2017
PMCID: 5709977

[…] the burrows-wheeler aligner (illumina) [49] to the grch37/hg19 reference genome, and variant calling was performed with the genome analysis toolkit (gatk) [50]. variants were annotated using the wannovar web server [51, 52], and their phenotypic effects were evaluated using the american college of medical genetics and genomics standards and guidelines [53]., neurons growing on a 96-well […]

2016
PMCID: 5013090

[…] the manufacturer's protocol. torrent suite v.4.2.1 was used to align reads against the human genome (hg19). the variant caller plugin was used to identify sequence variants that were annotated using wannovar.12, , targeted enrichment and sequencing was performed using 3 µg patient dna. enrichment was performed using the illumina hiseq sure select all exon v5 enrichment kit, and sequencing […]

2014
PMCID: 4102922

[…] we examined the variant calls generated on these nine samples. on average, we identified 234 snvs per sample, with the vast majority being non-coding variants. based on variant annotation from the wannovar web server, these nine samples carried 4, 8, 3, 7, 4, 2, 7, 7 and 6 non-synonymous snvs, respectively. additionally, we identified a nonframeshift deletion from one control subject […]

wANNOVAR institution(s)
Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Psychiatry and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
wANNOVAR funding source(s)
Supported by start-up funds from the Zilkha Neurogenetic Institute and grant number HG006465 from NIH/NHGRI.

wANNOVAR review

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Liana Oliveira

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Web
It is very easy to use and gives very useful information on the variants. All you have to do is to upload a vcf file (or a list of variants) and it returns, by email, a csv file with the annotations. The limitation is that it only annotates and does not prioritize variants. It allows you to use Phenolyzer in the same submission, but I am not sure yet if Phenolyzer gene prioritization is efficient.