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e coli strain k12  (New England Biolabs)


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    Structured Review

    New England Biolabs e coli strain k12
    CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and <t>E.</t> <t>coli</t> genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).
    E Coli Strain K12, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 3654 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/e+coli+strain+k12/NEB+5/pmc12667459-191-3-7
    Average 99 stars, based on 3654 article reviews
    e coli strain k12 - by Bioz Stars, 2026-09
    99/100 stars

    Images

    1) Product Images from "CLAE: A High‐Fidelity Nanopore Sequencing Strategy for Read‐Level Viral Variant Detection and Environmental RNA Virus Discovery"

    Article Title: CLAE: A High‐Fidelity Nanopore Sequencing Strategy for Read‐Level Viral Variant Detection and Environmental RNA Virus Discovery

    Journal: Advanced Science

    doi: 10.1002/advs.202505978

    CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and E. coli genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).
    Figure Legend Snippet: CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and E. coli genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).

    Techniques Used: Generated

    Related Articles

    Cloning:

    Article Title: A cell-free biosensor signal amplification circuit with polymerase strand recycling.
    Article Snippet: Cell-free systems are powerful synthetic biology technologies that can recapitulate gene expression and sensing without the complications of living cells.. Cell-free systems can perform more advanced functions when genetic circuits are incorporated.. Here we expand cell-free biosensing by engineering a highly specific isothermal amplification circuit called polymerase strand recycling (PSR), which leverages T7 RNA polymerase off-target transcription to recycle nucleic acid inputs within DNA strand displacement circuits.

    Article Title: Rapid, Low-Cost Detection of Water Contaminants Using Regulated In Vitro Transcription
    Article Snippet: .. E. coli strain K12 (NEB Turbo Competent E. coli , New England Biolabs #C2984) was used for routine cloning. .. E. coli strain Rosetta 2(DE3)pLysS (Novagen #71401) was used for recombinant protein expression.

    Article Title: Cell-free biosensors for rapid detection of water contaminants
    Article Snippet: .. E. coli strain K12 (NEB Turbo Competent E. coli , New England Biolabs #C2984) was used for routine cloning. .. E. coli strain Rosetta 2(DE3)pLysS (Novagen #71401) was used for recombinant protein expression.

    Article Title: Developing, characterizing and modeling CRISPR-based point-of-use pathogen diagnostics
    Article Snippet: .. E. coli strain K12 (Turbo Competent E. coli , NEB #C2984) was used for cloning. .. E. coli strain Rosetta 2(DE3)pLysS (Novagen #71401) was used for recombinant protein expression.

    Article Title: Programming Cell-Free Biosensors with DNA Strand Displacement Circuits
    Article Snippet: Together, these results show that establishing an interface between biosensing and TMSD circuits is a promising first step towards creating a general molecular computation platform to enhance and expand the function of cell-free biosensing technologies. .. E. coli strain K12 (NEB Turbo Competent E. coli , New England Biolabs #C2984) was used for routine cloning. .. E. coli strain Rosetta 2(DE3)pLysS (Novagen #71401) was used for recombinant protein expression.



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    CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and <t>E.</t> <t>coli</t> genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).
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    Image Search Results


    CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and E. coli genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).

    Journal: Advanced Science

    Article Title: CLAE: A High‐Fidelity Nanopore Sequencing Strategy for Read‐Level Viral Variant Detection and Environmental RNA Virus Discovery

    doi: 10.1002/advs.202505978

    Figure Lengend Snippet: CLAE enables efficient error correction with or without a reference. A) Overview of CLAE's error correction workflow. B) Comparing base‐calling modes for R9 and R10 flow cells. Consensus accuracy (y‐axis) versus subread count (x‐axis) across base‐calling modes (‐ i ‐). Number of ≥Q30 HF reads (arrows) depends on base‐caller and flow cell (‐ ii ‐). Both reference‐based and non‐reference modes effectively reduce substitution, deletion, and insertion errors (‐ iii ‐). C) Alignment fractions of the shorter read (AF) for HF and raw (non‐HF) reads, shown for Lambda phage DNA (left) and E. coli genomic DNA (right). HF were generated with the reference mode (ref). Dotted triangles denote reads with <90% AF. D) Error correction efficiencies using “plus (red)” strands only, “minus (green)” strands only, and both “plus and minus” (blue) strands (‐ i ‐). Many errors occur at error‐prone k‐mers (‐ ii ‐). Using both strands reduces the subread threshold to achieve ≥ Q30 HF reads (‐ iii ‐).

    Article Snippet: Genomic DNA from E. coli strain K12 (NEB C2987PVIAL) was extracted using QIAGEN Genomic‐tip 500/G (10 262) & Genomic DNA Buffer Set (19 060) according to the manufacturer's protocol.

    Techniques: Generated