2020
LongAGE: 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 Research
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
Single-cell analysis of targeted transcriptome predicts drug sensitivity of single cells within human myeloma tumors
Mitra A, Mukherjee U, Harding T, Jang J, Stessman H, Li Y, Abyzov A, Jen J, Kumar S, Rajkumar V, Van Ness B. Single-cell analysis of targeted transcriptome predicts drug sensitivity of single cells within human myeloma tumors. Leukemia 2015, 30: 1094-1102. PMID: 26710886, DOI: 10.1038/leu.2015.361.Peer-Reviewed Original ResearchConceptsSingle cellsIndividual cellsSignificant genetic diversitySingle-cell analysisGene expression profile signaturesSingle-cell levelGenetic diversityTranscriptome analysisDrug responseCellular responsesDrug sensitivityBulk populationInhibitor sensitivitySubclonal architectureProfiling studiesPCR analysisPrediction programsCell linesMyeloma cell linesTumor progressionCellsIntratumor heterogeneityProfile signaturesProteasome inhibitor sensitivitySubclonal level
2011
CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing
Abyzov A, Urban AE, Snyder M, Gerstein M. CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Research 2011, 21: 974-984. PMID: 21324876, PMCID: PMC3106330, DOI: 10.1101/gr.114876.110.Peer-Reviewed Original ResearchAGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excision
Abyzov A, Gerstein M. AGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excision. Bioinformatics 2011, 27: 595-603. PMID: 21233167, PMCID: PMC3042181, DOI: 10.1093/bioinformatics/btq713.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsContig MappingGenome, HumanGenomic Structural VariationHumansSequence AlignmentSoftwareConceptsLocal alignmentDownloadable software packageMemory-efficient implementationDynamic programming algorithmPersonal genome sequencesClassical algorithmsOptimal alignmentAlignment scoresOptimal solutionSoftware packageCorrect sequence alignmentAlgorithmComplex eventsImportant problemBreakpoint resolutionSequence alignmentImplementationCorrect alignmentAlignmentComputation
2009
RigidFinder: A fast and sensitive method to detect rigid blocks in large macromolecular complexes
Abyzov A, Bjornson R, Felipe M, Gerstein M. RigidFinder: A fast and sensitive method to detect rigid blocks in large macromolecular complexes. Proteins Structure Function And Bioinformatics 2009, 78: 309-324. PMID: 19705487, DOI: 10.1002/prot.22544.Peer-Reviewed Original ResearchConceptsLarge macromolecular complexesMacromolecular complexesLarge-scale conformational changesRNA polymerase IIT7 RNA polymeraseMultiple polypeptide chainsPolymerase IIRNA polymeraseDistance conservationPhosphate dikinaseDifferent conformationsInter-residue distancesLarge complexesConformational changesPolypeptide chainDomain motionPartial refoldingFurther distinguishing featureConformationStructure determinationComplexesDikinaseSensitive identificationGroELIdentification
2008
MSB: A mean-shift-based approach for the analysis of structural variation in the genome
Wang LY, Abyzov A, Korbel JO, Snyder M, Gerstein M. MSB: A mean-shift-based approach for the analysis of structural variation in the genome. Genome Research 2008, 19: 106-117. PMID: 19037015, PMCID: PMC2612956, DOI: 10.1101/gr.080069.108.Peer-Reviewed Original ResearchConceptsProbability density functionNumber of segmentsGood parameter initializationLikelihood functionArray CGH experimentsKernel-based approachUnderlying distributionModel parametersParameter initializationParticular assumptionsNonparametric methodsExpectation maximizationComputational methodsConvergenceGlobal criterionLocal gradients
2007
Structure SNP (StSNP): a web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways
Uzun A, Leslin C, Abyzov A, Ilyin V. Structure SNP (StSNP): a web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways. Nucleic Acids Research 2007, 35: w384-w392. PMID: 17537826, PMCID: PMC1933130, DOI: 10.1093/nar/gkm232.Peer-Reviewed Original ResearchConceptsMetabolic pathwaysSNP databasePathway informationProtein structureMulti-protein complexesOpen reading frameAmino acid sequenceMetabolic pathway informationDisease-related pathwaysNCBI SNP databaseProtein databaseReading frameMolecular basisAcid sequencePathway relationsNsSNPsFunctional consequencesComparative modelingProteinEdu/PathwayGenesWeb serverSNPsStructure data
2005
ACTIVE SITE PREDICTION FOR COMPARATIVE MODEL STRUCTURES WITH THEMATICS
SHEHADI I, ABYZOV A, UZUN A, WEI Y, MURGA L, ILYIN V, ONDRECHEN M. ACTIVE SITE PREDICTION FOR COMPARATIVE MODEL STRUCTURES WITH THEMATICS. Journal Of Bioinformatics And Computational Biology 2005, 3: 127-143. PMID: 15751116, DOI: 10.1142/s0219720005000916.Peer-Reviewed Original Research