2023
Control-independent mosaic single nucleotide variant detection with DeepMosaic
Yang X, Xu X, Breuss M, Antaki D, Ball L, Chung C, Shen J, Li C, George R, Wang Y, Bae T, Cheng Y, Abyzov A, Wei L, Alexandrov L, Sebat J, Gleeson J. Control-independent mosaic single nucleotide variant detection with DeepMosaic. Nature Biotechnology 2023, 41: 870-877. PMID: 36593400, PMCID: PMC10314968, DOI: 10.1038/s41587-022-01559-w.Peer-Reviewed Original ResearchExomeExome SequencingHigh-Throughput Nucleotide SequencingNucleotidesPolymorphism, Single NucleotideSoftwareWhole Genome Sequencing
2021
CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing
Suvakov M, Panda A, Diesh C, Holmes I, Abyzov A. CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing. GigaScience 2021, 10: giab074. PMID: 34817058, PMCID: PMC8612020, DOI: 10.1093/gigascience/giab074.Peer-Reviewed Original ResearchMeSH KeywordsAllelesDNA Copy Number VariationsGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareWhole Genome SequencingComprehensive identification of somatic nucleotide variants in human brain tissue
Wang Y, Bae T, Thorpe J, Sherman MA, Jones AG, Cho S, Daily K, Dou Y, Ganz J, Galor A, Lobon I, Pattni R, Rosenbluh C, Tomasi S, Tomasini L, Yang X, Zhou B, Akbarian S, Ball LL, Bizzotto S, Emery SB, Doan R, Fasching L, Jang Y, Juan D, Lizano E, Luquette LJ, Moldovan JB, Narurkar R, Oetjens MT, Rodin RE, Sekar S, Shin JH, Soriano E, Straub RE, Zhou W, Chess A, Gleeson JG, Marquès-Bonet T, Park PJ, Peters MA, Pevsner J, Walsh CA, Weinberger DR, Vaccarino F, Moran J, Urban A, Kidd J, Mills R, Abyzov A. Comprehensive identification of somatic nucleotide variants in human brain tissue. Genome Biology 2021, 22: 92. PMID: 33781308, PMCID: PMC8006362, DOI: 10.1186/s13059-021-02285-3.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBrainChromosome MappingComputational BiologyGenetic Association StudiesGenetic VariationGenomicsGerm CellsHigh-Throughput Nucleotide SequencingHumansOrgan SpecificityPolymorphism, Single NucleotideConceptsSomatic SNVsSomatic single nucleotide variantsWhole-genome sequencing dataSequencing dataBulk DNA samplesCell lineage treesSomatic mosaicismSingle nucleotide variantsLineage treesSomatic nucleotide variantsCellular processesDNA replicationHuman genomeSomatic tissuesDNA repairNucleotide variantsComprehensive identificationDNA samplesMosaic variantsNon-cancerous tissuesDNASingle individualMultiple replicatesHuman brain tissueVariants
2020
SCELLECTOR: ranking amplification bias in single cells using shallow sequencing
Sarangi V, Jourdon A, Bae T, Panda A, Vaccarino F, Abyzov A. SCELLECTOR: ranking amplification bias in single cells using shallow sequencing. BMC Bioinformatics 2020, 21: 521. PMID: 33183232, PMCID: PMC7663899, DOI: 10.1186/s12859-020-03858-y.Peer-Reviewed Original ResearchMeSH KeywordsCell DifferentiationDNAHigh-Throughput Nucleotide SequencingHumansInduced Pluripotent Stem CellsNeuronsNucleic Acid Amplification TechniquesPolymorphism, Single NucleotideSequence Analysis, DNASingle-Cell AnalysisConceptsMultiple displacement amplificationShallow sequencingSingle-cell platformsSingle-cell sequencingCoverage sequencing dataSingle cellsHuman neuronal cellsMosaic mutationsAmount of DNAAmplification qualityCell sequencingCoverage sequencingHigh-coverage dataSequencing dataHaplotype informationPhi29 polymeraseDNA damageIndividual cellsNeuronal cellsSequencingAmplification biasAllelic imbalancePresence of sitesMutationsFragment lengthLongAGE: defining breakpoints of genomic structural variants through optimal and memory efficient alignments of long reads
Tran Q, Abyzov A. LongAGE: defining breakpoints of genomic structural variants through optimal and memory efficient alignments of long reads. Bioinformatics 2020, 37: 1015-1017. PMID: 32777815, PMCID: PMC8128450, DOI: 10.1093/bioinformatics/btaa703.Peer-Reviewed Original ResearchAlgorithmsDNA Copy Number VariationsGenomic Structural VariationHigh-Throughput Nucleotide SequencingSegmental Duplications, GenomicSequence Analysis, DNASoftware
2019
Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2
Zhou B, Ho S, Greer S, Spies N, Bell J, Zhang X, Zhu X, Arthur J, Byeon S, Pattni R, Saha I, Huang Y, Song G, Perrin D, Wong W, Ji H, Abyzov A, Urban A. Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2. Nucleic Acids Research 2019, 47: 3846-3861. PMID: 30864654, PMCID: PMC6486628, DOI: 10.1093/nar/gkz169.Peer-Reviewed Original ResearchConceptsGenome sequenceStructural variantsGenomic structural featuresSomatic genomic rearrangementsFunctional genomics dataAllele-specific expressionEntire chromosome armsIntegrated genome analysisCRISPR/Cas9Cell linesMain cell linesGenome structureEpigenomic characteristicsChromosome armsGenome analysisDNA methylationGenome characteristicsRetrotransposon insertionChromosomal segmentsGenomic rearrangementsGenomic dataRegulatory complexityCell line HepG2Copy numberLoss of heterozygosityMolecular signatures of multiple myeloma progression through single cell RNA-Seq
Jang J, Li Y, Mitra A, Bi L, Abyzov A, van Wijnen A, Baughn L, Van Ness B, Rajkumar V, Kumar S, Jen J. Molecular signatures of multiple myeloma progression through single cell RNA-Seq. Blood Cancer Journal 2019, 9: 2. PMID: 30607001, PMCID: PMC6318319, DOI: 10.1038/s41408-018-0160-x.Peer-Reviewed Original ResearchMeSH KeywordsBiopsyBone MarrowComputational BiologyDisease ProgressionGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMultiple MyelomaPrognosisSequence Analysis, RNASingle-Cell AnalysisTranscriptomeWorkflowConceptsMM patientsMultiple myelomaPoor overall survivalCD138-positive cellsBone marrow aspirateMultiple myeloma progressionSingle-cell RNA-seqMGUS patientsGene expression signaturesOverall survivalMM progressionDisease progressionMyeloma progressionPatient prognosisTreatment stratificationMarrow aspiratesPlasma cellsPositive cellsPatientsL4 groupGene signatureLow expressionExpression signaturesMolecular pathwaysProgression
2017
Landscape and variation of novel retroduplications in 26 human populations
Zhang Y, Li S, Abyzov A, Gerstein MB. Landscape and variation of novel retroduplications in 26 human populations. PLOS Computational Biology 2017, 13: e1005567. PMID: 28662076, PMCID: PMC5510864, DOI: 10.1371/journal.pcbi.1005567.Peer-Reviewed Original ResearchMeSH KeywordsDNA Transposable ElementsExomeGene DuplicationGenetic VariationGenome, HumanHigh-Throughput Nucleotide SequencingHumansRetroelementsSequence Analysis, DNASpecies SpecificityConceptsParent genesSequencing dataHigh-coverage exomesLow-coverage whole-genome sequencing dataHuman populationWhole-genome sequencing dataExon-exon junctionsGenomes Phase 3Young L1 elementsPaired-end readsPotential disease associationsRetrotranspositional activityGenomic elementsNucleosome positioningPhylogenetic treeRetroduplicationExome sequencing dataReference genomeGenomic featuresInsertion eventsL1 elementsComprehensive discoveryPopulation markersSNP callingFunctional regions
2016
A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals
Chen J, Rozowsky J, Galeev TR, Harmanci A, Kitchen R, Bedford J, Abyzov A, Kong Y, Regan L, Gerstein M. A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals. Nature Communications 2016, 7: 11101. PMID: 27089393, PMCID: PMC4837449, DOI: 10.1038/ncomms11101.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBinding SitesChromosome MappingComputational BiologyDatabases, GeneticGene ExpressionGene FrequencyGenome, HumanGenomicsGenotypeHigh-Throughput Nucleotide SequencingHuman Genome ProjectHumansInternetMolecular Sequence AnnotationPolymorphism, Single NucleotidePrecision MedicineConceptsSingle nucleotide variantsAllele-specific bindingFunctional genomics data setsAllele-specific behaviorLarge-scale sequencingGenomic data setsAllelic imbalanceNumber of readsChIP-seqRNA-seqGenome ProjectMaternal chromosomesNucleotide variantsPersonal genomesMapping biasAllelic variantsVariant catalogMultiple individualsFunctional effectsProject individualsBindingExpressionVariantsGenomeChromosomes
2015
Understanding genome structural variations
Abyzov A, Li S, Gerstein MB. Understanding genome structural variations. Oncotarget 2015, 7: 7370-7371. PMID: 26657727, PMCID: PMC4884923, DOI: 10.18632/oncotarget.6485.Peer-Reviewed Original ResearchChromosome MappingChromosomes, HumanGenetic VariationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsPolymorphism, Single NucleotideMetaSV: an accurate and integrative structural-variant caller for next generation sequencing
Mohiyuddin M, Mu JC, Li J, Bani Asadi N, Gerstein MB, Abyzov A, Wong WH, Lam HY. MetaSV: an accurate and integrative structural-variant caller for next generation sequencing. Bioinformatics 2015, 31: 2741-2744. PMID: 25861968, PMCID: PMC4528635, DOI: 10.1093/bioinformatics/btv204.Peer-Reviewed Original ResearchMeSH KeywordsGenetic VariationHigh-Throughput Nucleotide SequencingMutagenesis, InsertionalSequence DeletionSoftwareConceptsCoverage information
2014
VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications
Mu JC, Mohiyuddin M, Li J, Bani Asadi N, Gerstein MB, Abyzov A, Wong WH, Lam HY. VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications. Bioinformatics 2014, 31: 1469-1471. PMID: 25524895, PMCID: PMC4410653, DOI: 10.1093/bioinformatics/btu828.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationGenetic VariationGenomicsHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsSequence AlignmentSoftwareConceptsMap data structureCompute frameworkGraphical reportsData structureParallel computationValidation frameworkRead alignmentSupplementary dataValidation toolReal dataHigh-fidelity simulationHigh-throughput genome sequencingDetailed statisticsFrameworkValidation resultsPythonInformationJavaSimulatorSupplementary informationComputationBioinformaticsRealistic modelCodeImplementation