Ayelet Peres
Computational BiologistAbout
Copy Link
Titles
Computational Biologist
Departments & Organizations
Research
Copy Link
Research at a Glance
Yale Co-Authors
Frequent collaborators of Ayelet Peres's published research.
Publications
2025
Enhancing sequence alignment of adaptive immune receptors through multi-task deep learning
Konstantinovsky T, Peres A, Eisenberg R, Polak P, Lindenbaum O, Yaari G. Enhancing sequence alignment of adaptive immune receptors through multi-task deep learning. Nucleic Acids Research 2025, 53: gkaf651. PMID: 40650972, PMCID: PMC12255302, DOI: 10.1093/nar/gkaf651.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSequence alignmentAIRR-seqSequence segmentsEfficient local processingAssignment accuracySomatic hypermutationState-of-the-art resultsMulti-task learning frameworkAdaptive immune receptor repertoire sequencingMillions of sequencesMulti-task deep learningAdaptive immune receptor repertoireModel’s latent spaceAdaptive immune receptorsAntibody engineeringImmunoglobulin (Ig) sequencesImmune receptor repertoiresSequence variabilityComputational analysisV(D)J recombinationContainer imagesLatent spaceLearning frameworkDeep learningImmune receptors
2022
A somatic hypermutation–based machine learning model stratifies individuals with Crohn's disease and controls
Safra M, Werner L, Peres A, Polak P, Salamon N, Schvimer M, Weiss B, Barshack I, Shouval D, Yaari G. A somatic hypermutation–based machine learning model stratifies individuals with Crohn's disease and controls. Genome Research 2022, 33: 71-79. PMID: 36526432, PMCID: PMC9977146, DOI: 10.1101/gr.276683.122.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsB cell receptorCrohn's diseaseOligoclonal expansionB-cell receptor repertoire sequencingT cell receptor repertoireSomatic hypermutationBlood samplesChronic relapsing-remitting inflammatory disordersV gene usageSequence dataAdaptive immune functionUnique clonesSequencing studiesBlood samples of adultsMachine learningClassification of CDPediatric patientsRepertoire featuresMutation frequencyReceptor repertoireInflammatory disordersIleal biopsiesRepertoire sequencingImmune functionMachine learning models
2019
VDJbase: an adaptive immune receptor genotype and haplotype database
Omer A, Shemesh O, Peres A, Polak P, Shepherd A, Watson C, Boyd S, Collins A, Lees W, Yaari G. VDJbase: an adaptive immune receptor genotype and haplotype database. Nucleic Acids Research 2019, 48: d1051-d1056. PMID: 31602484, PMCID: PMC6943044, DOI: 10.1093/nar/gkz872.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping
Gidoni M, Snir O, Peres A, Polak P, Lindeman I, Mikocziova I, Sarna V, Lundin K, Clouser C, Vigneault F, Collins A, Sollid L, Yaari G. Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping. Nature Communications 2019, 10: 628. PMID: 30733445, PMCID: PMC6367474, DOI: 10.1038/s41467-019-08489-3.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAntibody repertoire sequencing dataAnalysis of antibody repertoiresCopy number variationsHigh-throughput sequencingNaive B cell repertoireHeavy chain gene locusUsage biasGene assignmentGenomic lociHaplotype inferenceGenetic disease predispositionSequence dataGene locusNumber variationsDisease predispositionHaplotypesDeletion patternsImmunoglobulin genesAntibody repertoireLociAdaptive immune responsesGenesB cell repertoireIGHV genesVDJ
Get In Touch
Copy Link