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genotype data from sequenom massarray (iplex)  (Sequenom)

 
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    Structured Review

    Sequenom genotype data from sequenom massarray (iplex)
    This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 <t>(MassARRAY)</t> files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.
    Genotype Data From Sequenom Massarray (Iplex), supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/genotype data from sequenom massarray (iplex)/product/Sequenom
    Average 90 stars, based on 1 article reviews
    genotype data from sequenom massarray (iplex) - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "SNPflow: A Lightweight Application for the Processing, Storing and Automatic Quality Checking of Genotyping Assays"

    Article Title: SNPflow: A Lightweight Application for the Processing, Storing and Automatic Quality Checking of Genotyping Assays

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0059508

    This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 (MassARRAY) files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.
    Figure Legend Snippet: This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 (MassARRAY) files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.

    Techniques Used: Multiplex Assay



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    Sequenom genotype data from sequenom massarray (iplex)
    This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 <t>(MassARRAY)</t> files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.
    Genotype Data From Sequenom Massarray (Iplex), supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/genotype data from sequenom massarray (iplex)/product/Sequenom
    Average 90 stars, based on 1 article reviews
    genotype data from sequenom massarray (iplex) - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    Sequenom genotype data from sequenom massarray
    Validation of 42 SNPs at the RDV2 locus
    Genotype Data From Sequenom Massarray, supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/genotype data from sequenom massarray/product/Sequenom
    Average 90 stars, based on 1 article reviews
    genotype data from sequenom massarray - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    Image Search Results


    This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 (MassARRAY) files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.

    Journal: PLoS ONE

    Article Title: SNPflow: A Lightweight Application for the Processing, Storing and Automatic Quality Checking of Genotyping Assays

    doi: 10.1371/journal.pone.0059508

    Figure Lengend Snippet: This figure shows the 4 steps of the SNPflow data analysis wizard. In brief, the first step allows the uploading of either SDS files (ABI 7900HT) or TyperAnalyzer 4.0 (MassARRAY) files. For TyperAnalyzer files, a second input field asks for the name of the result group under which results shall be grouped. The second step checks the validity of the IDs found in the uploaded and reports IDs, which are not found in the study definition and shall thus be deleted. Step 3 converts the found genotype designations to standard genotypes and allows entering the name of the result, the operator name, an optional comment and the rs-number of the SNP in HapMap and the 1000 Genomes Project. This is useful in case that a SNP ID changed between the current dbSNP release and the dbSNP release used in HapMap, as happened for some SNPs. For convenience, the result name is automatically pre-set as HapMap lookup. In multiplex assays, pagination allows navigating through the single SNPs. For quality reasons a manual confirmation of each conversion is required (Checkbox “All settings are correct”). Finally, step 4 confirms the successful analysis and brings the user to the report. Exemplary abbreviation used in this figure: NTC, Non-template control; ER, annulled samples (“error”), i.e. DNA samples present on the plates, but known to be flawed. The IDs of these samples were thus replaced with “ER” in order to avoid data collection for these samples.

    Article Snippet: SNPflow is a lightweight, intuitive and easily deployable application, which processes genotype data from Sequenom MassARRAY (iPLEX) and ABI 7900HT (TaqMan, KASPar) systems and is extendible to other genotyping methods as well.

    Techniques: Multiplex Assay

    Validation of 42 SNPs at the RDV2 locus

    Journal: BMC Plant Biology

    Article Title: Genetic identification of SNP markers linked to a new grape phylloxera resistant locus in Vitis cinerea for marker-assisted selection

    doi: 10.1186/s12870-018-1590-0

    Figure Lengend Snippet: Validation of 42 SNPs at the RDV2 locus

    Article Snippet: A comparison of the genotype data from Sequenom MassARRAY and the TASSEL SNP calling pipeline was performed to validate SNPs.

    Techniques:

    Genotyping errors detected in F 1 individuals after Sequenom  MassARRAY  genotyping

    Journal: BMC Plant Biology

    Article Title: Genetic identification of SNP markers linked to a new grape phylloxera resistant locus in Vitis cinerea for marker-assisted selection

    doi: 10.1186/s12870-018-1590-0

    Figure Lengend Snippet: Genotyping errors detected in F 1 individuals after Sequenom MassARRAY genotyping

    Article Snippet: A comparison of the genotype data from Sequenom MassARRAY and the TASSEL SNP calling pipeline was performed to validate SNPs.

    Techniques: