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genotype data  (Neogen)

 
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    Neogen genotype data
    Genotype Data, supplied by Neogen, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/genotyping+data/data+genotype/pm41915787-101-8-2
    Average 86 stars, based on 1 article reviews
    genotype data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    other:

    Article Title: IDENTIFICATION OF CANDIDATE GENES AND PATHWAYS LINKED TO THE TEMPERAMENT TRAIT IN SHEEP
    Article Snippet: These findings are valuable and relevant due to the following: 1) we worked with a population of animals that were not previously selected for temperament, 2) we utilized a molecular panel and information that included data reported by groups of Australian, European, and American researchers (GGP_50k_ovi, https://www.neogen.com/categories/genotyping-arrays/ggp-ovine-50k/ ), and 3) the size of the sample of genotyped animals and of the genealogy was appropriate for the methodology used.

    Expressing:

    Article Title: Mouse Phenome Database: towards a more FAIR-compliant and TRUST-worthy data repository and tool suite for phenotypes and genotypes.
    Article Snippet: .. There is now a robust component for collecting genotyping array data from the Neogen platform used for Diversity Outbred and other mouse populations and a mechanism to associate primary raw data files with a study for other molecular phenotypes such as expression data. ..



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    Image Search Results


    The mRNA expression levels of CISD1 in human pan-cancer. (A) CISD1 mRNA expression in various human normal tissues. Genotype Tissue Expression (GTEx) data for CISD1 mRNA in human normal tissues were downloaded from The Human Protein Atlas (THPA) and analyzed using GraphPad Prism. (B) CISD1 mRNA expression in various human cancer tissues. The Cancer Genome Atlas (TCGA) data for CISD1 mRNA expression across different cancer types were retrieved from THPA and analyzed using GraphPad Prism. (C) CISD1 mRNA expression levels in tumor tissues were compared with normal tissues across 33 cancer types. Differential expression analysis was conducted using GEPIA2, with a significance threshold of Q < 0.05 (Benjamini-Hochberg correction for multiple testing). Cancer types with significantly increased CISD1 expression are indicated in brown font, while those with significantly decreased expression are in blue font. N = normal tissue, and T = tumor tissue.

    Journal: Genes & Diseases

    Article Title: Exploring CISD1 as a multifaceted biomarker in cancer: Implications for diagnosis, prognosis, and immunotherapeutic response

    doi: 10.1016/j.gendis.2025.101677

    Figure Lengend Snippet: The mRNA expression levels of CISD1 in human pan-cancer. (A) CISD1 mRNA expression in various human normal tissues. Genotype Tissue Expression (GTEx) data for CISD1 mRNA in human normal tissues were downloaded from The Human Protein Atlas (THPA) and analyzed using GraphPad Prism. (B) CISD1 mRNA expression in various human cancer tissues. The Cancer Genome Atlas (TCGA) data for CISD1 mRNA expression across different cancer types were retrieved from THPA and analyzed using GraphPad Prism. (C) CISD1 mRNA expression levels in tumor tissues were compared with normal tissues across 33 cancer types. Differential expression analysis was conducted using GEPIA2, with a significance threshold of Q < 0.05 (Benjamini-Hochberg correction for multiple testing). Cancer types with significantly increased CISD1 expression are indicated in brown font, while those with significantly decreased expression are in blue font. N = normal tissue, and T = tumor tissue.

    Article Snippet: Genotype Tissue Expression (GTEx) data for CISD1 mRNA in human normal tissues were downloaded from The Human Protein Atlas (THPA) and analyzed using GraphPad Prism. (B) CISD1 mRNA expression in various human cancer tissues.

    Techniques: Expressing, Quantitative Proteomics

    Quality control of the genotyping dataset. ( a ) Distribution of call rates for the initial 296 samples; ( b ) Distribution of call rates for the final 224 samples; ( c ) Gencall scores at the 10th percentile compared to call rates for the initial 296 samples; ( d ) Gencall scores at the 10th percentile for the remaining 224 samples; ( e ) Gencall scores at the 50th percentile for the initial 296 samples; ( f ) Gencall scores at the 50th percentile for the final 224 samples.

    Journal: Scientific Data

    Article Title: Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals

    doi: 10.1038/s41597-025-05964-z

    Figure Lengend Snippet: Quality control of the genotyping dataset. ( a ) Distribution of call rates for the initial 296 samples; ( b ) Distribution of call rates for the final 224 samples; ( c ) Gencall scores at the 10th percentile compared to call rates for the initial 296 samples; ( d ) Gencall scores at the 10th percentile for the remaining 224 samples; ( e ) Gencall scores at the 50th percentile for the initial 296 samples; ( f ) Gencall scores at the 50th percentile for the final 224 samples.

    Article Snippet: Raw genotyping data were downloaded from Macrogen cloud service.

    Techniques: Control