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multiplex pcr 5x master mix  (New England Biolabs)


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    New England Biolabs multiplex pcr 5x master mix
    Multiplex Pcr 5x Master Mix, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 97/100, based on 362 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multiplex pcr 5x master mix/product/New England Biolabs
    Average 97 stars, based on 362 article reviews
    multiplex pcr 5x master mix - by Bioz Stars, 2026-03
    97/100 stars

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    Workflow of tNPS-based experimental and bioinformatics analysis for detecting pathogens of CNS infection. ( A ) Genomic DNA was first extracted from samples using boiling method. Second, the target regions of genes related to 17 high-priority in CNS infections (seven bacteria, one fungus, and nine viruses), the full-length gene regions of 16S rRNA and ITS, and three internal control plasmids were then amplified <t>by</t> <t>multiplex</t> <t>PCR</t> in a bacterial-fungal tube and a viral tube. Third, the amplicons were mixed and pooled for library preparation. Fourth, the library was subjected to nanopore sequencing to generate long-read sequence data for bioinformatics analysis. The turnaround time was approximately 8 h. ( B ) MinKNOW first collected real-time data, which were converted to FASTQ format (raw reads) by Guppy. Second, Q_score filtered the raw reads into clean reads with base quality values >9. Third, using Bowtie 2, the human reads were removed by matching human genome reference sequence (GRCH38.p14). Kraken 2 was followed to map these reads to the core_nt database for species classification, with the parameter “--minimum-hit-groups” set to 3 to improve accuracy. Bracken also estimated the abundance of each taxon at the species level (with –l S), using a read length of 300 bp (the shortest read length in the dataset) and a threshold of 10 reads (with –t 10) to filter out low-abundance species and reduce noise. The results of bioinformatics analysis were finally visualized by Pavian and GraphPad.
    Multiplex Pcr Master Mix, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Workflow of tNPS-based experimental and bioinformatics analysis for detecting pathogens of CNS infection. ( A ) Genomic DNA was first extracted from samples using boiling method. Second, the target regions of genes related to 17 high-priority in CNS infections (seven bacteria, one fungus, and nine viruses), the full-length gene regions of 16S rRNA and ITS, and three internal control plasmids were then amplified by multiplex PCR in a bacterial-fungal tube and a viral tube. Third, the amplicons were mixed and pooled for library preparation. Fourth, the library was subjected to nanopore sequencing to generate long-read sequence data for bioinformatics analysis. The turnaround time was approximately 8 h. ( B ) MinKNOW first collected real-time data, which were converted to FASTQ format (raw reads) by Guppy. Second, Q_score filtered the raw reads into clean reads with base quality values >9. Third, using Bowtie 2, the human reads were removed by matching human genome reference sequence (GRCH38.p14). Kraken 2 was followed to map these reads to the core_nt database for species classification, with the parameter “--minimum-hit-groups” set to 3 to improve accuracy. Bracken also estimated the abundance of each taxon at the species level (with –l S), using a read length of 300 bp (the shortest read length in the dataset) and a threshold of 10 reads (with –t 10) to filter out low-abundance species and reduce noise. The results of bioinformatics analysis were finally visualized by Pavian and GraphPad.

    Journal: Infection and Drug Resistance

    Article Title: High-throughput and Efficient Assay for Central Nervous System Infection with Targeted Nanopore Sequencing Technology

    doi: 10.2147/IDR.S540638

    Figure Lengend Snippet: Workflow of tNPS-based experimental and bioinformatics analysis for detecting pathogens of CNS infection. ( A ) Genomic DNA was first extracted from samples using boiling method. Second, the target regions of genes related to 17 high-priority in CNS infections (seven bacteria, one fungus, and nine viruses), the full-length gene regions of 16S rRNA and ITS, and three internal control plasmids were then amplified by multiplex PCR in a bacterial-fungal tube and a viral tube. Third, the amplicons were mixed and pooled for library preparation. Fourth, the library was subjected to nanopore sequencing to generate long-read sequence data for bioinformatics analysis. The turnaround time was approximately 8 h. ( B ) MinKNOW first collected real-time data, which were converted to FASTQ format (raw reads) by Guppy. Second, Q_score filtered the raw reads into clean reads with base quality values >9. Third, using Bowtie 2, the human reads were removed by matching human genome reference sequence (GRCH38.p14). Kraken 2 was followed to map these reads to the core_nt database for species classification, with the parameter “--minimum-hit-groups” set to 3 to improve accuracy. Bracken also estimated the abundance of each taxon at the species level (with –l S), using a read length of 300 bp (the shortest read length in the dataset) and a threshold of 10 reads (with –t 10) to filter out low-abundance species and reduce noise. The results of bioinformatics analysis were finally visualized by Pavian and GraphPad.

    Article Snippet: The 25 μL multiplex PCR master mix contained 1× Q5 Hot-Start HiFi Buffer (New England Biolabs, Ipswich, MA, USA), 200 μM dNTPs, 0.2 μM each primer, 1× High GC enhancer, 0.5 U Q5 Hot-Start High-Fidelity DNA Polymerase (New England Biolabs), and 10 μL template DNA.

    Techniques: Infection, Bacteria, Control, Amplification, Multiplex Assay, Nanopore Sequencing, Sequencing