2016
Elevated variant density around SV breakpoints in germline lineage lends support to error-prone replication hypothesis
Dhokarh D, Abyzov A. Elevated variant density around SV breakpoints in germline lineage lends support to error-prone replication hypothesis. Genome Research 2016, 26: 874-881. PMID: 27216746, PMCID: PMC4937565, DOI: 10.1101/gr.205484.116.Peer-Reviewed Original ResearchConceptsSNPs/indelsComplex genomic rearrangementsHundreds of lociComplex human traitsAllele frequency spectrumReplication-based mechanismsBreakpoints of deletionsGermline lineageParental genomesSV breakpointsGenomic rearrangementsGenome ProjectMutational mechanismsDeletion eventsGenomic disordersHeterozygous SNPsStructural variantsVariant densityHuman traitsIndelsNumber variantsFold changeGermline deletionCNV formationDeletion
2010
Analysis of Combinatorial Regulation: Scaling of Partnerships between Regulators with the Number of Governed Targets
Bhardwaj N, Carson MB, Abyzov A, Yan KK, Lu H, Gerstein MB. Analysis of Combinatorial Regulation: Scaling of Partnerships between Regulators with the Number of Governed Targets. PLOS Computational Biology 2010, 6: e1000755. PMID: 20523742, PMCID: PMC2877725, DOI: 10.1371/journal.pcbi.1000755.Peer-Reviewed Original Research
2009
PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data
Korbel JO, Abyzov A, Mu XJ, Carriero N, Cayting P, Zhang Z, Snyder M, Gerstein MB. PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data. Genome Biology 2009, 10: r23. PMID: 19236709, PMCID: PMC2688268, DOI: 10.1186/gb-2009-10-2-r23.Peer-Reviewed Original Research