AccuTyping specifications

Information


Unique identifier OMICS_23741
Name AccuTyping
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Output data A file containing genotype calls, the original and processed data, the numerical values for the parameters used for normalization, background subtraction, low-signal filtering and the statistics of detection, concordance and accuracy.
Output format CSV
Operating system Unix/Linux
Computer skills Medium
Maintained No

Versioning


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Maintainers


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Publication for AccuTyping

AccuTyping citations

 (2)
library_books

Allele Loss and Down Regulation of Heparanase Gene Are Associated with the Progression and Poor Prognosis of Hepatocellular Carcinoma

2012
PLoS One
PMCID: 3432106
PMID: 22952874
DOI: 10.1371/journal.pone.0044061

[…] e presented as median intensity for each feature. Data normalization, low-signal filtering, background subtraction and genotyping were processed by our developed SNP genotype analysis program called “AccuTyping” . Genotype call for each SNP was determined based on the signal intensity ratio of the two fluorescences . […]

library_books

Genetic Structures of Copy Number Variants Revealed by Genotyping Single Sperm

2009
PLoS One
PMCID: 2668179
PMID: 19384415
DOI: 10.1371/journal.pone.0005236

[…] ) in the presence of Sequenase . The intensities of different fluorescent colors were obtained after scanning the microarray and digitizing the resulting image. Genotypes were determined by using the Accutyping software. Semen samples were genotyped using each of the two DNA strands as templates, respectively. Markers that did not have identical genotypes for both strands were labeled inconsisten […]

AccuTyping institution(s)
Department of Molecular Genetics, Microbiology and Immunology, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, Piscataway, NJ, USA
AccuTyping funding source(s)
Supported by the grants R01 HG02094 from the National Human Genome Research Institute and R01 R33 CA 96309 from the National Cancer Institute, NIH, USA.

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