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sample prepared with a nextera flex library-prep kit with 1ng dna  (Nextera AS)

 
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    Structured Review

    Nextera AS sample prepared with a nextera flex library-prep kit with 1ng dna
    Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and <t>DNA</t> amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 <t>FFPE</t> <t>WGS</t> replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S
    Sample Prepared With A Nextera Flex Library Prep Kit With 1ng Dna, supplied by Nextera AS, 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/product/sample+prepared+with+a+nextera+flex+library-prep+kit+with+1ng+dna/sample+prepared+with+a+nextera+flex+library+prep+kit+with+1ng+dna/pmc08740374-190-26-20
    Average 90 stars, based on 1 article reviews
    sample prepared with a nextera flex library-prep kit with 1ng dna - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample"

    Article Title: Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

    Journal: Genome Biology

    doi: 10.1186/s13059-021-02592-9

    Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and DNA amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 FFPE WGS replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S
    Figure Legend Snippet: Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and DNA amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 FFPE WGS replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S

    Techniques Used: Comparison, Mutagenesis

    Related Articles

    Formalin-fixed Paraffin-Embedded:

    Article Title: Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
    Article Snippet: The selected samples included a WGS sample sequenced by a NovaSeq instrument, a WES sample, a sample prepared with a Nextera Flex library-prep kit with 1ng DNA, a 30x WGS sample with 50% tumor purity, a 100x WGS sample with 10% tumor purity, and two WGS and two WES FFPE samples each treated with formalin for 24h and matched with fresh/FFPE normal samples.

    Comparison:

    Article Title: Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
    Article Snippet: The selected samples included a WGS sample sequenced by a NovaSeq instrument, a WES sample, a sample prepared with a Nextera Flex library-prep kit with 1ng DNA, a 30x WGS sample with 50% tumor purity, a 100x WGS sample with 10% tumor purity, and two WGS and two WES FFPE samples each treated with formalin for 24h and matched with fresh/FFPE normal samples.

    Mutagenesis:

    Article Title: Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
    Article Snippet: The selected samples included a WGS sample sequenced by a NovaSeq instrument, a WES sample, a sample prepared with a Nextera Flex library-prep kit with 1ng DNA, a 30x WGS sample with 50% tumor purity, a 100x WGS sample with 10% tumor purity, and two WGS and two WES FFPE samples each treated with formalin for 24h and matched with fresh/FFPE normal samples.



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    sample prepared with a nextera flex library-prep kit with 1ng dna  (Nextera AS)
    90
    Nextera AS sample prepared with a nextera flex library-prep kit with 1ng dna
    Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and <t>DNA</t> amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 <t>FFPE</t> <t>WGS</t> replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S
    Sample Prepared With A Nextera Flex Library Prep Kit With 1ng Dna, supplied by Nextera AS, 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/product/sample+prepared+with+a+nextera+flex+library-prep+kit+with+1ng+dna/sample+prepared+with+a+nextera+flex+library+prep+kit+with+1ng+dna/pmc08740374-190-26-20
    Average 90 stars, based on 1 article reviews
    sample prepared with a nextera flex library-prep kit with 1ng dna - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and DNA amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 FFPE WGS replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S

    Journal: Genome Biology

    Article Title: Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

    doi: 10.1186/s13059-021-02592-9

    Figure Lengend Snippet: Performance comparisons on the library preparation and FFPE data sets. a , b F1-score (%) comparison for different somatic mutation callers across different library kits and DNA amounts. Results of different callers for the same library preparation kit and DNA amount are connected for better illustration. c F1-score (%) comparison for different somatic mutation callers on 16 FFPE WGS replicates with FFPE or fresh matched normal. d SNV F1-score (%) comparison for different somatic mutation callers on 14 FFPE WES replicates with FFPE or fresh matched normal. Here, the SEQC-WGS-GT50-SpikeWGS10 trained models were used for NeuSomatic and NeuSomatic-S

    Article Snippet: The selected samples included a WGS sample sequenced by a NovaSeq instrument, a WES sample, a sample prepared with a Nextera Flex library-prep kit with 1ng DNA, a 30x WGS sample with 50% tumor purity, a 100x WGS sample with 10% tumor purity, and two WGS and two WES FFPE samples each treated with formalin for 24h and matched with fresh/FFPE normal samples.

    Techniques: Comparison, Mutagenesis