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snp massarray iplex platform  (Sequenom)

 
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    Sequenom snp massarray iplex platform
    Snp Massarray Iplex Platform, supplied by Sequenom, 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/sequenom+massarray+iplex+platform/d+genotyping+snp+tabbaa/pm41394155-62-26-25
    Average 86 stars, based on 1 article reviews
    snp massarray iplex platform - by Bioz Stars, 2026-10
    86/100 stars

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    other:

    Article Title: Kappa -opioid receptor gene ( OPRK1 ) variations associated with opioid abstinence behaviors among chronic heroin users.
    Article Snippet: The Golden Gate drug addiction Illumina panel (Hodgkinson et al., 2008) was used to genotype OPRK1 rs6989250 (5′UTR), rs7817710 (intron) and rs6473797 (intron), and the Sequenom SNP MassARRAY iPLEX platform (Gabriel et al., 2009) was used to genotype OPRK1 rs3802281 (3′UTR) and rs1051660 (5′UTR).

    Article Title: Examination of eQTL Polymorphisms Associated with Increased Risk of Progressive Complicated Sarcoidosis in European and African Descent Subjects
    Article Snippet: Gabriel S, Ziaugra L, Tabbaa D. SNP genotyping using the Sequenom MassARRAY iPLEX platform.

    Article Title: Kappa -opioid receptor gene ( OPRK1 ) variations associated with opioid abstinence behaviors among chronic heroin users
    Article Snippet: The Golden Gate drug addiction Illumina panel ( ) was used to genotype OPRK1 rs6989250 (5′UTR), rs7817710 (intron) and rs6473797 (intron), and the Sequenom SNP MassARRAY iPLEX platform ( ) was used to genotype OPRK1 rs3802281 (3′UTR) and rs1051660 (5′UTR).

    Article Title: Newborn screening facilitates early theranostics and improved spinal muscular atrophy outcome: five-year real-world evidence from Taiwan.
    Article Snippet: Gabriel S, Ziaugra L, Tabbaa D. SNP genotyping using the Sequenom MassARRAY iPLEX platform.

    Article Title: Association between genetic risk score and tri-ponderal mass index growth trajectories among different dietary consumption adolescents in a prospective Taiwanese cohort.
    Article Snippet: Gabriel S, Ziaugra L, Tabbaa D. SNP genotyping using the Sequenom MassARRAY iPLEX platform.

    Selection:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    Biomarker Discovery:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    RNA sequencing:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    Nuclear Magnetic Resonance:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    Spectroscopy:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    Transformation Assay:

    Article Title: AI-driven aquaculture: A review of technological innovations and their sustainable impacts
    Article Snippet: .. The ability to trace aquaculture products with such precision is increasingly demanded by consumers and regulatory Trace geographical origin of Chinese oysters for quality assurance LightGBM with SHAP on ICP-MS multi-element profiles (e.g., Na, Zn, V, Mg) Accuracy: 96.77 %; Precision: 96.43 %; Recall: 98.53 %; F1: 97.32 %; AUC: 0.998; enhanced interpretability via SHAP (Kang et al., 2024) Authenticate geographical origin of cuttlefish to prevent fraud NIRS (902–1680 nm) with RF-based feature selection, SVM, and KNN models for origin classification SVM accuracy: 0.92; Balanced accuracy: 0.83–1.00; Sensitivity: 0.67–1.00; Specificity: 0.88–1.00 (Currò et al., 2021) Develop a cost-efficient biometric method for SRL traceability Mask-RCNN for carapace segmentation; image analysis for size, weight, and color classification; mobile app validation Accuracy: 90 % within ±5 % error for size; weight estimates closely matched actual values; adaptable to real-world environments (Vo et al., 2020a) Develop gene-associated SNPs for Holothuria scabra population assignment Pooled RNA-Seq SNP discovery; genotyping via Sequenom iPLEX MassARRAY; Bayesian and ML-based assignment 88 SNPs enabled >80 % assignment accuracy; Sensitivity: 83.5 %; Specificity: 100 %; FST: 0.094–0.124 (Ordoñez and Ravago-Gotanco, 2024) Discriminate fish origins from closely related water bodies NMR spectroscopy integrated with PCA, LDA, RF, and Neural Networks NMR + LDA + RF: 100 % classification accuracy; robust to seasonal variation; accuracy >80 % at δ = 3 (Kuhn et al., 2024) Verify geographic origin of transformed anchovy products Q-ICP-MS with decision trees (C5.0, CART, CHAID, QUEST); element profiling (e.g., As, K, P, Cd) F-score: 93.9 % (CHAID bulk), 97.7 % (QUEST packaged); Classification accuracy >90 % across methods (Varrà et al., 2021) Trace geographical origin of Cerastoderma edule using shell shape analysis Landmark-based GM with GPA, PCA; classification with LDA, SVM, RF, NNET Accuracies: 70–86 %; F1-score: 61–84 %; Albufeira lagoon: 100 % accuracy with best models (Martins et al., 2024) Authenticate frozen-thawed adulterated salmon Bioimpedance-based non-destructive detection; PCA-BOA-SVM ML model Accuracy: 0.9683; Precision: 0.9708; Recall: 0.9683; F1-score: 0.9679 (Zhang et al., 2024a) bodies, particularly in internationalmarkets that emphasize sustainability and transparency, thus supporting food safety, market access, and consumer trust. ..

    Isolation:

    Article Title: Polynucleotides and methods for transferring resistance to Asian soybean rust
    Article Snippet: .. DNA was isolated and sent to The DNA Facility at Iowa State University for SNP genotyping using the Sequenom MassARRAY iPLEX platform. ..



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