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the cloud-based 1928 platform  (1928 Diagnostics)

 
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    1928 Diagnostics the cloud-based 1928 platform
    Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.
    The Cloud Based 1928 Platform, supplied by 1928 Diagnostics, 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/the cloud-based 1928 platform/product/1928 Diagnostics
    Average 90 stars, based on 1 article reviews
    the cloud-based 1928 platform - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches"

    Article Title: Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches

    Journal: Scientific Reports

    doi: 10.1038/s41598-022-14640-w

    Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.
    Figure Legend Snippet: Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.

    Techniques Used: Standard Deviation

    The mean for the genomic variation rate per year for all the ST found among the 20 MRSA-carriers are shown in the dot plot analysis. The cgMLST analysis (circle) was performed with SeqSphere+. Two different SNP-analysis were performed, the NASP-pipeline (square) and the cloud based software 1928 (triangle). The plot is based according to the results obtained using the COL reference. The three analysis have been grouped after each ST to facilitate visual comparison of the mean between them. The 1928 analysis show deviating/lower results compared to the results obtained with the cgMLST- and NASP-analysis where the results are similar. ST88, which is the ST with most samples, shows that the cgMLST and 1928 analysis are more comparable with each other than with NASP. A larger collection could give different results to the one observed in this study.
    Figure Legend Snippet: The mean for the genomic variation rate per year for all the ST found among the 20 MRSA-carriers are shown in the dot plot analysis. The cgMLST analysis (circle) was performed with SeqSphere+. Two different SNP-analysis were performed, the NASP-pipeline (square) and the cloud based software 1928 (triangle). The plot is based according to the results obtained using the COL reference. The three analysis have been grouped after each ST to facilitate visual comparison of the mean between them. The 1928 analysis show deviating/lower results compared to the results obtained with the cgMLST- and NASP-analysis where the results are similar. ST88, which is the ST with most samples, shows that the cgMLST and 1928 analysis are more comparable with each other than with NASP. A larger collection could give different results to the one observed in this study.

    Techniques Used: Software



    Similar Products

    the cloud-based 1928 platform  (1928 Diagnostics)
    90
    1928 Diagnostics the cloud-based 1928 platform
    Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.
    The Cloud Based 1928 Platform, supplied by 1928 Diagnostics, 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/the cloud-based 1928 platform/product/1928 Diagnostics
    Average 90 stars, based on 1 article reviews
    the cloud-based 1928 platform - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.

    Journal: Scientific Reports

    Article Title: Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches

    doi: 10.1038/s41598-022-14640-w

    Figure Lengend Snippet: Calculation of the mean distance between MRSA-samples for each patient and for the different analysis performed; where the cgMLST was calculated according to the pairwise allelic differences between samples and the SNP according to the pairwise SNP differences between samples.

    Article Snippet: The genome sequencing data of all isolates (n = 95) from the 20 long-term MRSA carriers were processed by the software Ridom SeqSphere+ 5.0.0 (Ridom GmbH, Münster, Germany), the cloud-based 1928 platform (1928 Diagnostics, Gothenburg, Sweden), and the Northern Arizona SNP Pipeline (NASP) version 1.0.1 for the cgMLST profiling and SNP analysis to evaluate the genomic variation rate (supplementary Table ).

    Techniques: Standard Deviation

    The mean for the genomic variation rate per year for all the ST found among the 20 MRSA-carriers are shown in the dot plot analysis. The cgMLST analysis (circle) was performed with SeqSphere+. Two different SNP-analysis were performed, the NASP-pipeline (square) and the cloud based software 1928 (triangle). The plot is based according to the results obtained using the COL reference. The three analysis have been grouped after each ST to facilitate visual comparison of the mean between them. The 1928 analysis show deviating/lower results compared to the results obtained with the cgMLST- and NASP-analysis where the results are similar. ST88, which is the ST with most samples, shows that the cgMLST and 1928 analysis are more comparable with each other than with NASP. A larger collection could give different results to the one observed in this study.

    Journal: Scientific Reports

    Article Title: Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches

    doi: 10.1038/s41598-022-14640-w

    Figure Lengend Snippet: The mean for the genomic variation rate per year for all the ST found among the 20 MRSA-carriers are shown in the dot plot analysis. The cgMLST analysis (circle) was performed with SeqSphere+. Two different SNP-analysis were performed, the NASP-pipeline (square) and the cloud based software 1928 (triangle). The plot is based according to the results obtained using the COL reference. The three analysis have been grouped after each ST to facilitate visual comparison of the mean between them. The 1928 analysis show deviating/lower results compared to the results obtained with the cgMLST- and NASP-analysis where the results are similar. ST88, which is the ST with most samples, shows that the cgMLST and 1928 analysis are more comparable with each other than with NASP. A larger collection could give different results to the one observed in this study.

    Article Snippet: The genome sequencing data of all isolates (n = 95) from the 20 long-term MRSA carriers were processed by the software Ridom SeqSphere+ 5.0.0 (Ridom GmbH, Münster, Germany), the cloud-based 1928 platform (1928 Diagnostics, Gothenburg, Sweden), and the Northern Arizona SNP Pipeline (NASP) version 1.0.1 for the cgMLST profiling and SNP analysis to evaluate the genomic variation rate (supplementary Table ).

    Techniques: Software