2 datasets found
  1. u

    Data from: Evaluating accuracy of DNA pool construction based on white blood...

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    application/gzip
    Updated May 5, 2025
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    Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Larry Kuehn; Michael Gonda (2025). Evaluating accuracy of DNA pool construction based on white blood cell counts [Dataset]. http://doi.org/10.15482/USDA.ADC/1520555
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    application/gzipAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset provided by
    Ag Data Commons
    Authors
    Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Larry Kuehn; Michael Gonda
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Pooling individual samples prior to DNA extraction can mitigate the cost of DNA extraction and genotyping; however, these methods need to accurately generate equal representation of individuals within pools. This data set was generated to determine accuracy of pool construction based on white blood cell counts compared to two common DNA quantification methods. Fifty individual bovine blood samples were collected, and then pooled with all individuals represented in each pool. Pools were constructed with the target of equal representation of each individual animal based on number of white blood cells, spectrophotometric readings, spectrofluorometric readings and whole blood volume with 9 pools per method and a total of 36 pools. Pools and individual samples that comprised the pools were genotyped using a commercially available genotyping array. ASReml was used to estimate variance components for individual animal contribution to pools. The correlation between animal contributions between two pools was estimated using bivariate analysis with starting values set to the result of a univariate analysis. The dataset includes: 1) pooling allele frequencies (PAF) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); PAF = X/(X+Y). 2) Genotypes or number of copies of B(green) allele (0,1,2). 3) Definitions for each sample. Resources in this dataset:Resource Title: Pooling Allele Frequencies (paf) for all pools and individual animals. File Name: pafAnimal.csv.gzResource Description: Pooling Allele Frequencies (paf) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); paf = X / (X + Y)Resource Title: Genotypes for individuals within pools. File Name: g.csv.gzResource Description: Genotypes (number of copies of the B (green) allele (0,1,2)) for individual bovine animals within pools.Resource Title: Sample Definitions . File Name: XY Data Key.xlsxResource Description: Definitions for each sample (both pools and individual animals).

  2. u

    Data From: Evaluating accuracy of DNA pool construction based on leukocyte...

    • agdatacommons.nal.usda.gov
    txt
    Updated Feb 27, 2024
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    Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Michael Gonda; Larry Kuehn (2024). Data From: Evaluating accuracy of DNA pool construction based on leukocyte counts versus two common DNA quantification methods [Dataset]. http://doi.org/10.15482/USDA.ADC/1504534
    Explore at:
    txtAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Ag Data Commons
    Authors
    Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Michael Gonda; Larry Kuehn
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Pooling individual samples prior to DNA extraction can be used to mitigate the cost of genotyping if the pooling methods can accurately generate equal representation of individuals within a pool. This dataset was generated to determine the accuracy of pool construction based on leukocyte counts compared to two common DNA quantification methods.Ten individual bovine blood samples were collected, and then pooled with two different individuals represented in each pool. Pools were constructed with the target of equal representation of the two animals based on number of leukocytes, spectrophotometric readings, spectrofluorometric readings, extracted DNA volume, and whole blood volume for a total of 25 pools. Pools and individual samples that comprised the pools were genotyped using a commercially available genotyping array. Representation of all ten individuals in each pool was estimated by non-negative least squares on array genotypes. The dataset includes: 1) pooling allele frequencies (PAF) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); PAF = X/(X+Y). 2) Genotypes or number of copies of B(green) allele (0,1,2). 3) Definitions for each sample. Resources in this dataset:Resource Title: Genotypes for individuals within pools. File Name: genotypes.csvResource Description: Genotypes (number of copies of the B (green) allele (0,1,2)) for individual bovine animals within pools. Resource Title: Pooling Allele Frequencies (paf) for all pools and individual animals. File Name: poolingallelefrequencies.csvResource Description: Pooling Allele Frequencies (paf) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); paf = X / (X + Y)Resource Title: Sample Definitions . File Name: SampleDefinitions.csvResource Description: Definitions for each sample (both pools and individual animals).

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Click to copy link
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Close
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Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Larry Kuehn; Michael Gonda (2025). Evaluating accuracy of DNA pool construction based on white blood cell counts [Dataset]. http://doi.org/10.15482/USDA.ADC/1520555

Data from: Evaluating accuracy of DNA pool construction based on white blood cell counts

Related Article
Explore at:
application/gzipAvailable download formats
Dataset updated
May 5, 2025
Dataset provided by
Ag Data Commons
Authors
Amy Abrams; Tara McDaneld; John Keele; Carol Chitko-McKown; Larry Kuehn; Michael Gonda
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

Pooling individual samples prior to DNA extraction can mitigate the cost of DNA extraction and genotyping; however, these methods need to accurately generate equal representation of individuals within pools. This data set was generated to determine accuracy of pool construction based on white blood cell counts compared to two common DNA quantification methods. Fifty individual bovine blood samples were collected, and then pooled with all individuals represented in each pool. Pools were constructed with the target of equal representation of each individual animal based on number of white blood cells, spectrophotometric readings, spectrofluorometric readings and whole blood volume with 9 pools per method and a total of 36 pools. Pools and individual samples that comprised the pools were genotyped using a commercially available genotyping array. ASReml was used to estimate variance components for individual animal contribution to pools. The correlation between animal contributions between two pools was estimated using bivariate analysis with starting values set to the result of a univariate analysis. The dataset includes: 1) pooling allele frequencies (PAF) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); PAF = X/(X+Y). 2) Genotypes or number of copies of B(green) allele (0,1,2). 3) Definitions for each sample. Resources in this dataset:Resource Title: Pooling Allele Frequencies (paf) for all pools and individual animals. File Name: pafAnimal.csv.gzResource Description: Pooling Allele Frequencies (paf) for all pools and individual animals computed from normalized intensities for red (X) and green (Y); paf = X / (X + Y)Resource Title: Genotypes for individuals within pools. File Name: g.csv.gzResource Description: Genotypes (number of copies of the B (green) allele (0,1,2)) for individual bovine animals within pools.Resource Title: Sample Definitions . File Name: XY Data Key.xlsxResource Description: Definitions for each sample (both pools and individual animals).

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