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 ResearchConceptsMultiple 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 length
2012
Neurobiology meets genomic science: The promise of human-induced pluripotent stem cells
Stevens HE, Mariani J, Coppola G, Vaccarino FM. Neurobiology meets genomic science: The promise of human-induced pluripotent stem cells. Development And Psychopathology 2012, 24: 1443-1451. PMID: 23062309, PMCID: PMC3513939, DOI: 10.1017/s095457941200082x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHuman-induced pluripotent stem cellsPluripotent stem cellsStem cellsNeuronal cellsInduced pluripotent stem cell (iPSC) technologyPluripotent stem cell (iPSC) technologyNormal human brain developmentHuman genesSomatic cellsCell biologyStem cell technologyGene transcriptsHuman brain developmentAspects of developmentMessenger RNADevelopmental stepsGenomic scienceBiologySeries of eventsCellsBrain developmentGenesGeneticsHuman individualsTranscripts