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Träfflista för sökning "WFRF:(Paterlini Marta) "

Search: WFRF:(Paterlini Marta)

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  • Borgström, Erik, et al. (author)
  • Comparison of whole genome amplification techniques for human single cell exome sequencing
  • 2017
  • In: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 12:2
  • Journal article (peer-reviewed)abstract
    • Background Whole genome amplification (WGA) is currently a prerequisite for single cell whole genome or exome sequencing. Depending on the method used the rate of artifact formation, allelic dropout and sequence coverage over the genome may differ significantly. Results The largest difference between the evaluated protocols was observed when analyzing the target coverage and read depth distribution. These differences also had impact on the downstream variant calling. Conclusively, the products from the AMPLI1 and MALBAC kits were shown to be most similar to the bulk samples and are therefore recommended for WGA of single cells. Discussion In this study four commercial kits for WGA (AMPLI1, MALBAC, Repli-G and PicoPlex) were used to amplify human single cells. The WGA products were exome sequenced together with non-amplified bulk samples from the same source. The resulting data was evaluated in terms of genomic coverage, allelic dropout and SNP calling.
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3.
  • Hard, Joanna, et al. (author)
  • Conbase : a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing
  • 2019
  • In: Genome Biology. - : BMC. - 1465-6906 .- 1474-760X. ; 20
  • Journal article (peer-reviewed)abstract
    • Accurate variant calling and genotyping represent major limiting factors for downstream applications of single-cell genomics. Here, we report Conbase for the identification of somatic mutations in single-cell DNA sequencing data. Conbase leverages phased read data from multiple samples in a dataset to achieve increased confidence in somatic variant calls and genotype predictions. Comparing the performance of Conbase to three other methods, we find that Conbase performs best in terms of false discovery rate and specificity and provides superior robustness on simulated data, in vitro expanded fibroblasts and clonal lymphocyte populations isolated directly from a healthy human donor.
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