We are analyzing https://link.springer.com/article/10.1186/s13059-015-0616-2.

Title:
SNES: single nucleus exome sequencing | Genome Biology
Description:
Single-cell genome sequencing methods are challenged by poor physical coverage and high error rates, making it difficult to distinguish real biological variants from technical artifacts. To address this problem, we developed a method called SNES that combines flow-sorting of single G1/0 or G2/M nuclei, time-limited multiple-displacement-amplification, exome capture, and next-generation sequencing to generate high coverage (96%) data from single human cells. We validated our method in a fibroblast cell line, and show low allelic dropout and false-positive error rates, resulting in high detection efficiencies for single nucleotide variants (92%) and indels (85%) in single cells.
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Keywords {🔍}

cells, single, coverage, sequencing, pubmed, data, singlecell, article, cell, exome, scholar, figure, google, genome, cas, dna, wga, nuclei, depth, detection, errors, additional, file, snes, error, dropout, central, allelic, analysis, rates, amplification, human, sites, variant, snvs, methods, capture, reference, population, technical, indels, qpcr, performed, sample, reads, calculated, files, variants, breadth, quality,

Topics {✒️}

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Schema {🗺️}

WebPage:
      mainEntity:
         headline:SNES: single nucleus exome sequencing
         description:Single-cell genome sequencing methods are challenged by poor physical coverage and high error rates, making it difficult to distinguish real biological variants from technical artifacts. To address this problem, we developed a method called SNES that combines flow-sorting of single G1/0 or G2/M nuclei, time-limited multiple-displacement-amplification, exome capture, and next-generation sequencing to generate high coverage (96%) data from single human cells. We validated our method in a fibroblast cell line, and show low allelic dropout and false-positive error rates, resulting in high detection efficiencies for single nucleotide variants (92%) and indels (85%) in single cells.
         datePublished:2015-03-25T00:00:00Z
         dateModified:2015-03-25T00:00:00Z
         pageStart:1
         pageEnd:10
         license:http://creativecommons.org/licenses/by/4.0/
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            Coverage Depth
            Allelic Dropout
            Coverage Uniformity
            Exome Capture
            Exome Sequencing Data
            Animal Genetics and Genomics
            Human Genetics
            Plant Genetics and Genomics
            Microbial Genetics and Genomics
            Bioinformatics
            Evolutionary Biology
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ScholarlyArticle:
      headline:SNES: single nucleus exome sequencing
      description:Single-cell genome sequencing methods are challenged by poor physical coverage and high error rates, making it difficult to distinguish real biological variants from technical artifacts. To address this problem, we developed a method called SNES that combines flow-sorting of single G1/0 or G2/M nuclei, time-limited multiple-displacement-amplification, exome capture, and next-generation sequencing to generate high coverage (96%) data from single human cells. We validated our method in a fibroblast cell line, and show low allelic dropout and false-positive error rates, resulting in high detection efficiencies for single nucleotide variants (92%) and indels (85%) in single cells.
      datePublished:2015-03-25T00:00:00Z
      dateModified:2015-03-25T00:00:00Z
      pageStart:1
      pageEnd:10
      license:http://creativecommons.org/licenses/by/4.0/
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      keywords:
         Coverage Depth
         Allelic Dropout
         Coverage Uniformity
         Exome Capture
         Exome Sequencing Data
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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                     type:PostalAddress
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                     name:Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, USA
                     type:PostalAddress
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            type:Person
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            affiliation:
                  name:MD Anderson Cancer Center
                  address:
                     name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Jill Waters
            affiliation:
                  name:MD Anderson Cancer Center
                  address:
                     name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Nicholas E Navin
            affiliation:
                  name:MD Anderson Cancer Center
                  address:
                     name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
                     type:PostalAddress
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                  name:MD Anderson Cancer Center
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                     name:Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, USA
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Person:
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      affiliation:
            name:MD Anderson Cancer Center
            address:
               name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
            name:University of Texas Health Science Center at Houston
            address:
               name:Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, USA
               type:PostalAddress
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      name:Yong Wang
      affiliation:
            name:MD Anderson Cancer Center
            address:
               name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
      name:Jill Waters
      affiliation:
            name:MD Anderson Cancer Center
            address:
               name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
      name:Nicholas E Navin
      affiliation:
            name:MD Anderson Cancer Center
            address:
               name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
            name:MD Anderson Cancer Center
            address:
               name:Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
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            address:
               name:Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, USA
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      name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
      name:Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, USA
      name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
      name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
      name:Department of Genetics, MD Anderson Cancer Center, Houston, USA
      name:Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, USA
      name:Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, USA

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