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    Plasmidsaurus plasmidsaurus custom sequencing pricing
    A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read <t>sequencing</t> (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.
    Plasmidsaurus Custom Sequencing Pricing, supplied by Plasmidsaurus, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/plasmidsaurus custom sequencing pricing/product/Plasmidsaurus
    Average 86 stars, based on 1 article reviews
    plasmidsaurus custom sequencing pricing - by Bioz Stars, 2026-06
    86/100 stars

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    1) Product Images from "uSort–M: Scalable isolation of user-defined sequences from diverse pooled libraries"

    Article Title: uSort–M: Scalable isolation of user-defined sequences from diverse pooled libraries

    Journal: bioRxiv

    doi: 10.64898/2026.01.12.699065

    A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read sequencing (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.
    Figure Legend Snippet: A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read sequencing (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.

    Techniques Used: Variant Assay, Isolation, Sequencing, Plasmid Preparation, Transformation Assay, Bacteria, High Throughput Screening Assay, FACS, Cell Culture, Clone Assay

    A . Schematic illustrating 328-variant human acylphosphatase 2 (hAcyP) library processing, including (1) assembly, (2) transformation, and (3) FACS sorting. Left scatter plot: selection of cell events by gating the distribution of side scatter area (SSC-A) vs . forward scatter area (FSC-A) values. Right scatter plot: selection of singlets from gating the distribution of forward scatter height (FSC-H) vs . FSC-A. B . Histogram of the number of wells as a function of measured OD 600 values. Wells with bacterial growth (green bars representing 2,057 wells) were defined as having OD 600 > 0.052 (grey vertical line). Inset pie chart indicates fraction of wells with (green, 67%) and without (grey, 33%) growth. C . Plate-well barcoding scheme for multiplexed sequencing of variant DNA in each well. Three iterations of PCR encode source plate and well location on each read. D . Number of demultiplexed MiSeq reads (sequencing depth) vs . well OD 600 ; marker color indicates plate of origin; vertical and horizontal lines are shown for OD 600 = 0.052 and sequencing depth = 100, respectively. Histogram (left) indicates number of wells with a given read depth. E . Scatter plot comparing number of reads per well from demultiplexed MiSeq data vs . Nanopore data; annotation specifies Pearson correlation coefficient. F . Read alignment plots from a representative well comparing paired-end MiSeq data and long-read Nanopore data. Sequence positions are aligned along the x-axes of each plot, with bases matching the reference are colored in light blue, mismatches in black, and empty positions in white. Top : read schematic showing aligned positions corresponding to the hAcyP2 WT reference sequence (light blue), called variant for the given well (red), and DNA appended during indexing (dark blue). Middle : Subsampled paired-end MiSeq reads ordered by orientation, with forward reads on top and reverse reads on bottom. Bottom : Subsampled Nanopore reads. G . Quantified fidelity across all reads from all wells, defined as the frequency of finding a mismatch outside of the called variant bases. Each point shows the fidelity of a single read, boxes denote the median, 25 th , and 75 th percentiles of the distribution, and error bars represent the standard deviation. H . Number of variants recovered for the 328-member library from MiSeq or Nanopore data.
    Figure Legend Snippet: A . Schematic illustrating 328-variant human acylphosphatase 2 (hAcyP) library processing, including (1) assembly, (2) transformation, and (3) FACS sorting. Left scatter plot: selection of cell events by gating the distribution of side scatter area (SSC-A) vs . forward scatter area (FSC-A) values. Right scatter plot: selection of singlets from gating the distribution of forward scatter height (FSC-H) vs . FSC-A. B . Histogram of the number of wells as a function of measured OD 600 values. Wells with bacterial growth (green bars representing 2,057 wells) were defined as having OD 600 > 0.052 (grey vertical line). Inset pie chart indicates fraction of wells with (green, 67%) and without (grey, 33%) growth. C . Plate-well barcoding scheme for multiplexed sequencing of variant DNA in each well. Three iterations of PCR encode source plate and well location on each read. D . Number of demultiplexed MiSeq reads (sequencing depth) vs . well OD 600 ; marker color indicates plate of origin; vertical and horizontal lines are shown for OD 600 = 0.052 and sequencing depth = 100, respectively. Histogram (left) indicates number of wells with a given read depth. E . Scatter plot comparing number of reads per well from demultiplexed MiSeq data vs . Nanopore data; annotation specifies Pearson correlation coefficient. F . Read alignment plots from a representative well comparing paired-end MiSeq data and long-read Nanopore data. Sequence positions are aligned along the x-axes of each plot, with bases matching the reference are colored in light blue, mismatches in black, and empty positions in white. Top : read schematic showing aligned positions corresponding to the hAcyP2 WT reference sequence (light blue), called variant for the given well (red), and DNA appended during indexing (dark blue). Middle : Subsampled paired-end MiSeq reads ordered by orientation, with forward reads on top and reverse reads on bottom. Bottom : Subsampled Nanopore reads. G . Quantified fidelity across all reads from all wells, defined as the frequency of finding a mismatch outside of the called variant bases. Each point shows the fidelity of a single read, boxes denote the median, 25 th , and 75 th percentiles of the distribution, and error bars represent the standard deviation. H . Number of variants recovered for the 328-member library from MiSeq or Nanopore data.

    Techniques Used: Variant Assay, Transformation Assay, Selection, Sequencing, Marker, Standard Deviation

    A . Simulation pipeline illustrating key parameters from each step in the uSort-M workflow and how they are defined. B . Simulated coverage as a function of fold-sampling of a 328-member library, where the number of wells sorted is equal to the product of the library size and fold-sampling. Red points represent bootstrap downsampling from the collected hAcyP2 library sequencing data for each fold-sampling value; blue shaded area shows 99% confidence interval from 100 independent simulations using known parameters of the experiment (skew = 2, off-target variation = 0.35, transformation scale = 5,250/328, sorting efficiency = 0.67, PCR failure rate = 0.025). Grey shaded area shows 99% confidence interval from 100 independent numerical simulations assuming a ‘perfect’ input library (skew = 1, off-target variation = 0, transformation scale = 100, same sorting and PCR parameters); dashed black line indicates the analytical solution to sampling from this population. Inset shows simulated coverage distribution at 3,072 sorted wells in blue; red line indicates the observed coverage (0.963, 316 variants). C . Coverage vs . fold-sampling plots for a 1000-member library with varying skew, off-target variation, and transformation scale, holding non-varied parameters at ‘realistic’ values of 1, 0, and 50, respectively. The x-axis is discontinuous between 10x sampling and >380x sampling to illustrate where the curves plateau. D . Sampling vs . coverage ( upper ) or vs . cost ( lower ) for either exhaustive sampling (blue curve) or sampling with a ‘targeted resynthesis’ step (orange curve) of a 1,000-member library. In ‘targeted resynthesis’, a set number of wells are sorted and sequenced to a lower coverage value, and then the remaining unsampled members of the library are reordered as a new, smaller library.
    Figure Legend Snippet: A . Simulation pipeline illustrating key parameters from each step in the uSort-M workflow and how they are defined. B . Simulated coverage as a function of fold-sampling of a 328-member library, where the number of wells sorted is equal to the product of the library size and fold-sampling. Red points represent bootstrap downsampling from the collected hAcyP2 library sequencing data for each fold-sampling value; blue shaded area shows 99% confidence interval from 100 independent simulations using known parameters of the experiment (skew = 2, off-target variation = 0.35, transformation scale = 5,250/328, sorting efficiency = 0.67, PCR failure rate = 0.025). Grey shaded area shows 99% confidence interval from 100 independent numerical simulations assuming a ‘perfect’ input library (skew = 1, off-target variation = 0, transformation scale = 100, same sorting and PCR parameters); dashed black line indicates the analytical solution to sampling from this population. Inset shows simulated coverage distribution at 3,072 sorted wells in blue; red line indicates the observed coverage (0.963, 316 variants). C . Coverage vs . fold-sampling plots for a 1000-member library with varying skew, off-target variation, and transformation scale, holding non-varied parameters at ‘realistic’ values of 1, 0, and 50, respectively. The x-axis is discontinuous between 10x sampling and >380x sampling to illustrate where the curves plateau. D . Sampling vs . coverage ( upper ) or vs . cost ( lower ) for either exhaustive sampling (blue curve) or sampling with a ‘targeted resynthesis’ step (orange curve) of a 1,000-member library. In ‘targeted resynthesis’, a set number of wells are sorted and sequenced to a lower coverage value, and then the remaining unsampled members of the library are reordered as a new, smaller library.

    Techniques Used: Sampling, Sequencing, Transformation Assay



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    plasmidsaurus custom sequencing pricing  (Plasmidsaurus)
    86
    Plasmidsaurus plasmidsaurus custom sequencing pricing
    A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read <t>sequencing</t> (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.
    Plasmidsaurus Custom Sequencing Pricing, supplied by Plasmidsaurus, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/plasmidsaurus custom sequencing pricing/product/Plasmidsaurus
    Average 86 stars, based on 1 article reviews
    plasmidsaurus custom sequencing pricing - by Bioz Stars, 2026-06
    86/100 stars
    		  Buy from Supplier

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    A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read sequencing (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.

    Journal: bioRxiv

    Article Title: uSort–M: Scalable isolation of user-defined sequences from diverse pooled libraries

    doi: 10.64898/2026.01.12.699065

    Figure Lengend Snippet: A . uSort-M converts an arbitrary pooled library of DNA variants into a “parsed” library where each variant is isolated in its own well with validated sequence information. B . uSort-M isolates single plasmid variants within a bacterial host via pooled assembly (1) and transformation (2), isolates individual bacteria via high-throughput cell sorting (FACS) (3), amplifies and barcodes DNA amplicons from cultured clones via PCR (4), and then pools amplicons for multiplexed long-read sequencing (5) that associates plate/well-specific barcodes with DNA amplicons. C . Projected costs of traditional library preparation vs . uSort-M. Left : cost as a function of library size for traditional synthesis methods (light grey shading indicates estimated minimum and maximum costs; grey line indicates mean) vs . u-Sort-M (blue line) for libraries of 300 bp fragments. Dashed black line indicates 8.3-fold savings for uSort-M vs traditional synthesis. Right : table indicating the estimated cost of individual steps required for traditional gene synthesis or uSort-M for 500- and 1,500-variant libraries, respectively, of 300 bp fragments.

    Article Snippet: Sequencing costs were calculated using Plasmidsaurus Custom Sequencing pricing, which starts at $500 for 1 gigabase of sequencing and increases by $50 for each added gigabase (as of 2025; https://www.plasmidsaurus.com/custom ).

    Techniques: Variant Assay, Isolation, Sequencing, Plasmid Preparation, Transformation Assay, Bacteria, High Throughput Screening Assay, FACS, Cell Culture, Clone Assay

    A . Schematic illustrating 328-variant human acylphosphatase 2 (hAcyP) library processing, including (1) assembly, (2) transformation, and (3) FACS sorting. Left scatter plot: selection of cell events by gating the distribution of side scatter area (SSC-A) vs . forward scatter area (FSC-A) values. Right scatter plot: selection of singlets from gating the distribution of forward scatter height (FSC-H) vs . FSC-A. B . Histogram of the number of wells as a function of measured OD 600 values. Wells with bacterial growth (green bars representing 2,057 wells) were defined as having OD 600 > 0.052 (grey vertical line). Inset pie chart indicates fraction of wells with (green, 67%) and without (grey, 33%) growth. C . Plate-well barcoding scheme for multiplexed sequencing of variant DNA in each well. Three iterations of PCR encode source plate and well location on each read. D . Number of demultiplexed MiSeq reads (sequencing depth) vs . well OD 600 ; marker color indicates plate of origin; vertical and horizontal lines are shown for OD 600 = 0.052 and sequencing depth = 100, respectively. Histogram (left) indicates number of wells with a given read depth. E . Scatter plot comparing number of reads per well from demultiplexed MiSeq data vs . Nanopore data; annotation specifies Pearson correlation coefficient. F . Read alignment plots from a representative well comparing paired-end MiSeq data and long-read Nanopore data. Sequence positions are aligned along the x-axes of each plot, with bases matching the reference are colored in light blue, mismatches in black, and empty positions in white. Top : read schematic showing aligned positions corresponding to the hAcyP2 WT reference sequence (light blue), called variant for the given well (red), and DNA appended during indexing (dark blue). Middle : Subsampled paired-end MiSeq reads ordered by orientation, with forward reads on top and reverse reads on bottom. Bottom : Subsampled Nanopore reads. G . Quantified fidelity across all reads from all wells, defined as the frequency of finding a mismatch outside of the called variant bases. Each point shows the fidelity of a single read, boxes denote the median, 25 th , and 75 th percentiles of the distribution, and error bars represent the standard deviation. H . Number of variants recovered for the 328-member library from MiSeq or Nanopore data.

    Journal: bioRxiv

    Article Title: uSort–M: Scalable isolation of user-defined sequences from diverse pooled libraries

    doi: 10.64898/2026.01.12.699065

    Figure Lengend Snippet: A . Schematic illustrating 328-variant human acylphosphatase 2 (hAcyP) library processing, including (1) assembly, (2) transformation, and (3) FACS sorting. Left scatter plot: selection of cell events by gating the distribution of side scatter area (SSC-A) vs . forward scatter area (FSC-A) values. Right scatter plot: selection of singlets from gating the distribution of forward scatter height (FSC-H) vs . FSC-A. B . Histogram of the number of wells as a function of measured OD 600 values. Wells with bacterial growth (green bars representing 2,057 wells) were defined as having OD 600 > 0.052 (grey vertical line). Inset pie chart indicates fraction of wells with (green, 67%) and without (grey, 33%) growth. C . Plate-well barcoding scheme for multiplexed sequencing of variant DNA in each well. Three iterations of PCR encode source plate and well location on each read. D . Number of demultiplexed MiSeq reads (sequencing depth) vs . well OD 600 ; marker color indicates plate of origin; vertical and horizontal lines are shown for OD 600 = 0.052 and sequencing depth = 100, respectively. Histogram (left) indicates number of wells with a given read depth. E . Scatter plot comparing number of reads per well from demultiplexed MiSeq data vs . Nanopore data; annotation specifies Pearson correlation coefficient. F . Read alignment plots from a representative well comparing paired-end MiSeq data and long-read Nanopore data. Sequence positions are aligned along the x-axes of each plot, with bases matching the reference are colored in light blue, mismatches in black, and empty positions in white. Top : read schematic showing aligned positions corresponding to the hAcyP2 WT reference sequence (light blue), called variant for the given well (red), and DNA appended during indexing (dark blue). Middle : Subsampled paired-end MiSeq reads ordered by orientation, with forward reads on top and reverse reads on bottom. Bottom : Subsampled Nanopore reads. G . Quantified fidelity across all reads from all wells, defined as the frequency of finding a mismatch outside of the called variant bases. Each point shows the fidelity of a single read, boxes denote the median, 25 th , and 75 th percentiles of the distribution, and error bars represent the standard deviation. H . Number of variants recovered for the 328-member library from MiSeq or Nanopore data.

    Article Snippet: Sequencing costs were calculated using Plasmidsaurus Custom Sequencing pricing, which starts at $500 for 1 gigabase of sequencing and increases by $50 for each added gigabase (as of 2025; https://www.plasmidsaurus.com/custom ).

    Techniques: Variant Assay, Transformation Assay, Selection, Sequencing, Marker, Standard Deviation

    A . Simulation pipeline illustrating key parameters from each step in the uSort-M workflow and how they are defined. B . Simulated coverage as a function of fold-sampling of a 328-member library, where the number of wells sorted is equal to the product of the library size and fold-sampling. Red points represent bootstrap downsampling from the collected hAcyP2 library sequencing data for each fold-sampling value; blue shaded area shows 99% confidence interval from 100 independent simulations using known parameters of the experiment (skew = 2, off-target variation = 0.35, transformation scale = 5,250/328, sorting efficiency = 0.67, PCR failure rate = 0.025). Grey shaded area shows 99% confidence interval from 100 independent numerical simulations assuming a ‘perfect’ input library (skew = 1, off-target variation = 0, transformation scale = 100, same sorting and PCR parameters); dashed black line indicates the analytical solution to sampling from this population. Inset shows simulated coverage distribution at 3,072 sorted wells in blue; red line indicates the observed coverage (0.963, 316 variants). C . Coverage vs . fold-sampling plots for a 1000-member library with varying skew, off-target variation, and transformation scale, holding non-varied parameters at ‘realistic’ values of 1, 0, and 50, respectively. The x-axis is discontinuous between 10x sampling and >380x sampling to illustrate where the curves plateau. D . Sampling vs . coverage ( upper ) or vs . cost ( lower ) for either exhaustive sampling (blue curve) or sampling with a ‘targeted resynthesis’ step (orange curve) of a 1,000-member library. In ‘targeted resynthesis’, a set number of wells are sorted and sequenced to a lower coverage value, and then the remaining unsampled members of the library are reordered as a new, smaller library.

    Journal: bioRxiv

    Article Title: uSort–M: Scalable isolation of user-defined sequences from diverse pooled libraries

    doi: 10.64898/2026.01.12.699065

    Figure Lengend Snippet: A . Simulation pipeline illustrating key parameters from each step in the uSort-M workflow and how they are defined. B . Simulated coverage as a function of fold-sampling of a 328-member library, where the number of wells sorted is equal to the product of the library size and fold-sampling. Red points represent bootstrap downsampling from the collected hAcyP2 library sequencing data for each fold-sampling value; blue shaded area shows 99% confidence interval from 100 independent simulations using known parameters of the experiment (skew = 2, off-target variation = 0.35, transformation scale = 5,250/328, sorting efficiency = 0.67, PCR failure rate = 0.025). Grey shaded area shows 99% confidence interval from 100 independent numerical simulations assuming a ‘perfect’ input library (skew = 1, off-target variation = 0, transformation scale = 100, same sorting and PCR parameters); dashed black line indicates the analytical solution to sampling from this population. Inset shows simulated coverage distribution at 3,072 sorted wells in blue; red line indicates the observed coverage (0.963, 316 variants). C . Coverage vs . fold-sampling plots for a 1000-member library with varying skew, off-target variation, and transformation scale, holding non-varied parameters at ‘realistic’ values of 1, 0, and 50, respectively. The x-axis is discontinuous between 10x sampling and >380x sampling to illustrate where the curves plateau. D . Sampling vs . coverage ( upper ) or vs . cost ( lower ) for either exhaustive sampling (blue curve) or sampling with a ‘targeted resynthesis’ step (orange curve) of a 1,000-member library. In ‘targeted resynthesis’, a set number of wells are sorted and sequenced to a lower coverage value, and then the remaining unsampled members of the library are reordered as a new, smaller library.

    Article Snippet: Sequencing costs were calculated using Plasmidsaurus Custom Sequencing pricing, which starts at $500 for 1 gigabase of sequencing and increases by $50 for each added gigabase (as of 2025; https://www.plasmidsaurus.com/custom ).

    Techniques: Sampling, Sequencing, Transformation Assay