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All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons.
Sarangi, Vivekananda; Jang, Yeongjun; Suvakov, Milovan; Bae, Taejeong; Fasching, Liana; Sekar, Shobana; Tomasini, Livia; Mariani, Jessica; Vaccarino, Flora M; Abyzov, Alexej.
Afiliação
  • Sarangi V; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Jang Y; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Suvakov M; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Bae T; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Fasching L; Child Study Center, Yale University, New Haven, Connecticut, United States of America.
  • Sekar S; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Tomasini L; Child Study Center, Yale University, New Haven, Connecticut, United States of America.
  • Mariani J; Child Study Center, Yale University, New Haven, Connecticut, United States of America.
  • Vaccarino FM; Child Study Center, Yale University, New Haven, Connecticut, United States of America.
  • Abyzov A; Department of Neuroscience, Yale University, New Haven, Connecticut, United States of America.
PLoS Comput Biol ; 18(4): e1009487, 2022 04.
Article em En | MEDLINE | ID: mdl-35442945
ABSTRACT
Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing a cell's genome to a control bulk sample miss common mutations, while approaches to find such mutations from bulk suffer from low sensitivity. We developed a tool, All2, which enables accurate filtering of mutations in a cell without the need for data from bulk(s). It is based on pair-wise comparisons of all cells to each other where every call for base pair substitution and indel is classified as either a germline variant, mosaic mutation, or false positive. As All2 allows for considering dropped-out regions, it is applicable to whole genome and exome analysis of cloned and amplified cells. By applying the approach to a variety of available data, we showed that its application reduces false positives, enables sensitive discovery of high frequency mutations, and is indispensable for conducting high resolution cell lineage tracing.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Exoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Exoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article