Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899271637> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2899271637 abstract "Structural variants (SVs) are rearrangements, such as deletions, insertions, duplications, inversions, and translocations, in an individual's genome relative to a reference. SV detection is often marred by high false positive rates due to errors in sequencing and mapping. In previous work, we proposed a maximum likelihood approach to SV prediction that incorporated low-coverage sequencing data and coverage distribution. In particular, we developed a negative binomial framework to reflect a more realistic representation DNA fragment distributions sampled from an individual's genome. In this paper, we leverage relationships between an off spring and both parents, in addition to the negative binomial framework, to improve SV identification accuracy. We present numerical results on both simulated genomes as well as two sequenced parent-child trios from the 1000 Genomes Project." @default.
- W2899271637 created "2018-11-09" @default.
- W2899271637 creator A5005703929 @default.
- W2899271637 creator A5027970835 @default.
- W2899271637 creator A5082681242 @default.
- W2899271637 date "2018-07-01" @default.
- W2899271637 modified "2023-09-23" @default.
- W2899271637 title "Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery" @default.
- W2899271637 cites W1966711026 @default.
- W2899271637 cites W1973067702 @default.
- W2899271637 cites W2025583382 @default.
- W2899271637 cites W2046601740 @default.
- W2899271637 cites W2065817684 @default.
- W2899271637 cites W2096791516 @default.
- W2899271637 cites W2097331151 @default.
- W2899271637 cites W2103011829 @default.
- W2899271637 cites W2107688500 @default.
- W2899271637 cites W2107697078 @default.
- W2899271637 cites W2133112449 @default.
- W2899271637 cites W2137779717 @default.
- W2899271637 cites W2141637710 @default.
- W2899271637 cites W2142642738 @default.
- W2899271637 cites W2146005104 @default.
- W2899271637 cites W2162212014 @default.
- W2899271637 cites W2167722550 @default.
- W2899271637 cites W2230465815 @default.
- W2899271637 cites W2512642942 @default.
- W2899271637 cites W2783113319 @default.
- W2899271637 cites W2891911314 @default.
- W2899271637 doi "https://doi.org/10.1109/embc.2018.8512519" @default.
- W2899271637 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30440632" @default.
- W2899271637 hasPublicationYear "2018" @default.
- W2899271637 type Work @default.
- W2899271637 sameAs 2899271637 @default.
- W2899271637 citedByCount "0" @default.
- W2899271637 crossrefType "proceedings-article" @default.
- W2899271637 hasAuthorship W2899271637A5005703929 @default.
- W2899271637 hasAuthorship W2899271637A5027970835 @default.
- W2899271637 hasAuthorship W2899271637A5082681242 @default.
- W2899271637 hasConcept C100906024 @default.
- W2899271637 hasConcept C104317684 @default.
- W2899271637 hasConcept C105795698 @default.
- W2899271637 hasConcept C141231307 @default.
- W2899271637 hasConcept C153083717 @default.
- W2899271637 hasConcept C154945302 @default.
- W2899271637 hasConcept C199335787 @default.
- W2899271637 hasConcept C22593422 @default.
- W2899271637 hasConcept C33923547 @default.
- W2899271637 hasConcept C41008148 @default.
- W2899271637 hasConcept C41054675 @default.
- W2899271637 hasConcept C51679486 @default.
- W2899271637 hasConcept C54355233 @default.
- W2899271637 hasConcept C552990157 @default.
- W2899271637 hasConcept C70721500 @default.
- W2899271637 hasConcept C86803240 @default.
- W2899271637 hasConceptScore W2899271637C100906024 @default.
- W2899271637 hasConceptScore W2899271637C104317684 @default.
- W2899271637 hasConceptScore W2899271637C105795698 @default.
- W2899271637 hasConceptScore W2899271637C141231307 @default.
- W2899271637 hasConceptScore W2899271637C153083717 @default.
- W2899271637 hasConceptScore W2899271637C154945302 @default.
- W2899271637 hasConceptScore W2899271637C199335787 @default.
- W2899271637 hasConceptScore W2899271637C22593422 @default.
- W2899271637 hasConceptScore W2899271637C33923547 @default.
- W2899271637 hasConceptScore W2899271637C41008148 @default.
- W2899271637 hasConceptScore W2899271637C41054675 @default.
- W2899271637 hasConceptScore W2899271637C51679486 @default.
- W2899271637 hasConceptScore W2899271637C54355233 @default.
- W2899271637 hasConceptScore W2899271637C552990157 @default.
- W2899271637 hasConceptScore W2899271637C70721500 @default.
- W2899271637 hasConceptScore W2899271637C86803240 @default.
- W2899271637 hasLocation W28992716371 @default.
- W2899271637 hasLocation W28992716372 @default.
- W2899271637 hasOpenAccess W2899271637 @default.
- W2899271637 hasPrimaryLocation W28992716371 @default.
- W2899271637 hasRelatedWork W2014982185 @default.
- W2899271637 hasRelatedWork W2061338306 @default.
- W2899271637 hasRelatedWork W2132473166 @default.
- W2899271637 hasRelatedWork W2151912589 @default.
- W2899271637 hasRelatedWork W2333070757 @default.
- W2899271637 hasRelatedWork W4232811248 @default.
- W2899271637 hasRelatedWork W4247428816 @default.
- W2899271637 hasRelatedWork W4249521745 @default.
- W2899271637 hasRelatedWork W1992784385 @default.
- W2899271637 hasRelatedWork W2246746761 @default.
- W2899271637 isParatext "false" @default.
- W2899271637 isRetracted "false" @default.
- W2899271637 magId "2899271637" @default.
- W2899271637 workType "article" @default.