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e coli strain k12  (ATCC)


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    ATCC e coli strain k12
    E Coli Strain K12, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 333 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/strains+e+coli+k12/Escherichia+coli%3B+Strain+K-12/bio_rxiv__64898__2026__01__17__700050-128-0-4
    Average 94 stars, based on 333 article reviews
    e coli strain k12 - by Bioz Stars, 2026-09
    94/100 stars

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    Related Articles

    Plasmid Preparation:

    Article Title: Optimization of a heterologous pathway for the production of flavonoids from glucose.
    Article Snippet: The development of efficient microbial processes for the production of flavonoids has been a metabolic engineering goal for the past several years, primarily due to the purported health-promoting effects of these compounds.. Although significant strides have been made recently in improving strain titers and yields, current fermentation strategies suffer from two major drawbacks—(1) the requirement for expensive phenylpropanoic precursors supplemented into the media and (2) the need for two separate media formulations for biomass/protein generation and flavonoid production.. In this study, we detail the construction of a series of strains capable of bypassing both of these problems.

    Variant Assay:

    Article Title: Optimization of a heterologous pathway for the production of flavonoids from glucose.
    Article Snippet: The development of efficient microbial processes for the production of flavonoids has been a metabolic engineering goal for the past several years, primarily due to the purported health-promoting effects of these compounds.. Although significant strides have been made recently in improving strain titers and yields, current fermentation strategies suffer from two major drawbacks—(1) the requirement for expensive phenylpropanoic precursors supplemented into the media and (2) the need for two separate media formulations for biomass/protein generation and flavonoid production.. In this study, we detail the construction of a series of strains capable of bypassing both of these problems.

    Synthesized:

    Article Title: Optimization of a heterologous pathway for the production of flavonoids from glucose.
    Article Snippet: The development of efficient microbial processes for the production of flavonoids has been a metabolic engineering goal for the past several years, primarily due to the purported health-promoting effects of these compounds.. Although significant strides have been made recently in improving strain titers and yields, current fermentation strategies suffer from two major drawbacks—(1) the requirement for expensive phenylpropanoic precursors supplemented into the media and (2) the need for two separate media formulations for biomass/protein generation and flavonoid production.. In this study, we detail the construction of a series of strains capable of bypassing both of these problems.

    Countercurrent Chromatography:

    Article Title: Optimization of a heterologous pathway for the production of flavonoids from glucose.
    Article Snippet: The development of efficient microbial processes for the production of flavonoids has been a metabolic engineering goal for the past several years, primarily due to the purported health-promoting effects of these compounds.. Although significant strides have been made recently in improving strain titers and yields, current fermentation strategies suffer from two major drawbacks—(1) the requirement for expensive phenylpropanoic precursors supplemented into the media and (2) the need for two separate media formulations for biomass/protein generation and flavonoid production.. In this study, we detail the construction of a series of strains capable of bypassing both of these problems.



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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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    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