FamSeq statistics

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Citations per year

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FamSeq specifications

Information


Unique identifier OMICS_00058
Name FamSeq
Alternative name Family-based Sequencing program
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data FamSeq takes both likelihood and the widely used vcf files as input.
Input format VCF
Operating system Unix/Linux
Programming languages C++
Parallelization CUDA
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Wenyi Wang <>

Publication for Family-based Sequencing program

FamSeq in pipelines

 (2)
2014
PMCID: 4185103
PMID: 25129038
DOI: 10.1007/s00439-014-1479-4

[…] furthermore, using a family-oriented hts analysis pipeline can also produce mendelian consistent genotype data from hts data by making use of variant callers that incorporate familial information. famseq (peng et al. ) and polymutt (li et al. ) improve variant calling by making use of familial information while mate-clever (marschall et al. ) performs family aware indel detection and calling. […]

2014
PMCID: 4185103
PMID: 25129038
DOI: 10.1007/s00439-014-1479-4

[…] information. penncnv (wang et al. ) utilizes trio and quartet pedigree information to improve cnv calls for illumina and affymetrix snp chip data and is currently being extended to hts. similarly, famseq (peng et al. ) and polymutt (li et al. ) improve variant calling by making use of familial information., with the decreasing costs of hts larger cohorts of affected individuals […]


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FamSeq in publication

PMCID: 4185103
PMID: 25129038
DOI: 10.1007/s00439-014-1479-4

[…] furthermore, using a family-oriented hts analysis pipeline can also produce mendelian consistent genotype data from hts data by making use of variant callers that incorporate familial information. famseq (peng et al. ) and polymutt (li et al. ) improve variant calling by making use of familial information while mate-clever (marschall et al. ) performs family aware indel detection and calling. […]


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FamSeq institution(s)
Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Stanford Genome Technology Center, Department of Biochemistry, Stanford University, Palo Alto, CA, USA

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