Ontology highlight
ABSTRACT:
SUBMITTER: Rohrback S
PROVIDER: S-EPMC6196524 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Rohrback Suzanne S April Craig C Kaper Fiona F Rivera Richard R RR Liu Christine S CS Siddoway Benjamin B Chun Jerold J
Proceedings of the National Academy of Sciences of the United States of America 20180927 42
Somatic copy number variations (CNVs) exist in the brain, but their genesis, prevalence, forms, and biological impact remain unclear, even within experimentally tractable animal models. We combined a transposase-based amplification (TbA) methodology for single-cell whole-genome sequencing with a bioinformatic approach for filtering unreliable CNVs (FUnC), developed from machine learning trained on lymphocyte V(D)J recombination. TbA-FUnC offered superior genomic coverage and removed >90% of fals ...[more]