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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, 2026-03
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    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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    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.
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    Sequenom massarray data
    TET2 overexpression induces DNA demethylation of hypermethylated CGIs. ( A ) Western blot analysis of TET2 expression in Mock, TET2-WT and TET2-Mut 293T cells. β-Actin was used as loading control. ( B–C ) Total 5hmC (B) and 5mC (C) in Mock, TET2-WT and TET2-Mut 293T cells were detected by mass spectrometry. Data are presented as mean ± SD (n = 3). * P < 0.05. ( D–E ) Number of peaks in whole genome and CGIs gaining 5hmC (left) or losing 5mC (right) in 293T cells overexpressing TET2-WT. ( F ) hMeDIP-qPCR analysis for 5hmC at four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control. Data are presented as mean ± SD (n = 3). * P < 0.05. ( G ) Representative data of Sequenom <t>MassARRAY</t> analysis of ‘5mC + 5hmC’ at CpG sites within four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control.
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    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

    The basic information of the selected  SNPs  in this study

    Journal: BMC Oral Health

    Article Title: Family and case–control genetic study of MSX1 polymorphisms in peg-shaped teeth Jordanian population

    doi: 10.1186/s12903-022-02051-2

    Figure Lengend Snippet: The basic information of the selected SNPs in this study

    Article Snippet: The haplotype program revealed that one SNP (rs6446693) out of the six SNPs from Sequenom Massarray data was not associated with peg-shaped teeth.

    Techniques: Variant Assay

    The MSX1  SNPs  with their minor allele frequencies and HWE P -values for cases and controls at each locus based on the (36) families

    Journal: BMC Oral Health

    Article Title: Family and case–control genetic study of MSX1 polymorphisms in peg-shaped teeth Jordanian population

    doi: 10.1186/s12903-022-02051-2

    Figure Lengend Snippet: The MSX1 SNPs with their minor allele frequencies and HWE P -values for cases and controls at each locus based on the (36) families

    Article Snippet: The haplotype program revealed that one SNP (rs6446693) out of the six SNPs from Sequenom Massarray data was not associated with peg-shaped teeth.

    Techniques:

    Haploview plot of linkage disequilibrium (r 2 ) between (rs8670, rs12532, and rs4464513) within MSX1 located on chromosome 4p16.2 represent SNP-SNP relationship. A black diamond without a number represents complete linkage disequilibrium between SNPs (r 2 = 1)

    Journal: BMC Oral Health

    Article Title: Family and case–control genetic study of MSX1 polymorphisms in peg-shaped teeth Jordanian population

    doi: 10.1186/s12903-022-02051-2

    Figure Lengend Snippet: Haploview plot of linkage disequilibrium (r 2 ) between (rs8670, rs12532, and rs4464513) within MSX1 located on chromosome 4p16.2 represent SNP-SNP relationship. A black diamond without a number represents complete linkage disequilibrium between SNPs (r 2 = 1)

    Article Snippet: The haplotype program revealed that one SNP (rs6446693) out of the six SNPs from Sequenom Massarray data was not associated with peg-shaped teeth.

    Techniques:

    基于65样本集的MassARRAY和焦磷酸测序两种方法的相关性分析 Correlation analysis of  MassARRAY  and pyrosequencing based on 65 samples

    Journal: Journal of Southern Medical University

    Article Title: 焦磷酸测序和MassARRAY定量检测DNA甲基化在年龄推断中的差异

    doi: 10.12122/j.issn.1673-4254.2020.12.21

    Figure Lengend Snippet: 基于65样本集的MassARRAY和焦磷酸测序两种方法的相关性分析 Correlation analysis of MassARRAY and pyrosequencing based on 65 samples

    Article Snippet: A , B : Plots based on data without Z-score transformation typed from MassARRAY and pyrosequencing., : Plots based on data after Z-score transformation typed from MassARRAY and pyrosequencing.

    Techniques:

    基于62样本集的MassARRAY和焦磷酸测序两种方法的相关性分析 Correlation analysis of  MassARRAY  and pyrosequencing based on 62 samples

    Journal: Journal of Southern Medical University

    Article Title: 焦磷酸测序和MassARRAY定量检测DNA甲基化在年龄推断中的差异

    doi: 10.12122/j.issn.1673-4254.2020.12.21

    Figure Lengend Snippet: 基于62样本集的MassARRAY和焦磷酸测序两种方法的相关性分析 Correlation analysis of MassARRAY and pyrosequencing based on 62 samples

    Article Snippet: A , B : Plots based on data without Z-score transformation typed from MassARRAY and pyrosequencing., : Plots based on data after Z-score transformation typed from MassARRAY and pyrosequencing.

    Techniques:

    The IFNG single nucleotide polymorphisms (SNP) are designated according to the nucleotide position relative to the transcriptional starting site of IFNG .

    Journal: Wellcome Open Research

    Article Title: Interferon-gamma polymorphisms and risk of iron deficiency and anaemia in Gambian children

    doi: 10.12688/wellcomeopenres.15750.2

    Figure Lengend Snippet: The IFNG single nucleotide polymorphisms (SNP) are designated according to the nucleotide position relative to the transcriptional starting site of IFNG .

    Article Snippet: Agena Biosciences (formerly SEQUENOM) MassARRAY ® primer-extension definitions data for the five IFNG polymorphisms Extended datafile 3.

    Techniques:

    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:

    TET2 overexpression induces DNA demethylation of hypermethylated CGIs. ( A ) Western blot analysis of TET2 expression in Mock, TET2-WT and TET2-Mut 293T cells. β-Actin was used as loading control. ( B–C ) Total 5hmC (B) and 5mC (C) in Mock, TET2-WT and TET2-Mut 293T cells were detected by mass spectrometry. Data are presented as mean ± SD (n = 3). * P < 0.05. ( D–E ) Number of peaks in whole genome and CGIs gaining 5hmC (left) or losing 5mC (right) in 293T cells overexpressing TET2-WT. ( F ) hMeDIP-qPCR analysis for 5hmC at four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control. Data are presented as mean ± SD (n = 3). * P < 0.05. ( G ) Representative data of Sequenom MassARRAY analysis of ‘5mC + 5hmC’ at CpG sites within four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control.

    Journal: Nucleic Acids Research

    Article Title: A primary role of TET proteins in establishment and maintenance of De Novo bivalency at CpG islands

    doi: 10.1093/nar/gkw529

    Figure Lengend Snippet: TET2 overexpression induces DNA demethylation of hypermethylated CGIs. ( A ) Western blot analysis of TET2 expression in Mock, TET2-WT and TET2-Mut 293T cells. β-Actin was used as loading control. ( B–C ) Total 5hmC (B) and 5mC (C) in Mock, TET2-WT and TET2-Mut 293T cells were detected by mass spectrometry. Data are presented as mean ± SD (n = 3). * P < 0.05. ( D–E ) Number of peaks in whole genome and CGIs gaining 5hmC (left) or losing 5mC (right) in 293T cells overexpressing TET2-WT. ( F ) hMeDIP-qPCR analysis for 5hmC at four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control. Data are presented as mean ± SD (n = 3). * P < 0.05. ( G ) Representative data of Sequenom MassARRAY analysis of ‘5mC + 5hmC’ at CpG sites within four representative hypermethylated CGI promoters. The ID1 CGI promoter was used as a negative control.

    Article Snippet: Sequenom MassARRAY data showed a significant decrease in the percentage of ‘5mC + 5hmC’ within these CGIs in TET2-WT but not TET2-Mut 293T cells (Figure ).

    Techniques: Over Expression, Western Blot, Expressing, Control, Mass Spectrometry, Negative Control