2020
Data Sanitization to Reduce Private Information Leakage from Functional Genomics
Gürsoy G, Emani P, Brannon CM, Jolanki OA, Harmanci A, Strattan JS, Cherry JM, Miranker AD, Gerstein M. Data Sanitization to Reduce Private Information Leakage from Functional Genomics. Cell 2020, 183: 905-917.e16. PMID: 33186529, PMCID: PMC7672785, DOI: 10.1016/j.cell.2020.09.036.Peer-Reviewed Original ResearchMeSH KeywordsComputer SecurityGenome, HumanGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansPhenotypePhylogenyPrivacyReproducibility of ResultsSequence Analysis, RNASingle-Cell AnalysisConceptsFunctional genomicsSingle-cell RNA sequencingAccurate reference genomesFunctional genomics datasetsFunctional genomics experimentsOrganismal phenotypesGene regulationReference genomeNext-generation sequencingRaw readsGenomics experimentsRNA sequencingGenomic datasetsGenetic variantsGenomicsKnown individualsSequencingReadsEnvironmental samplesGenomeIlluminaPhenotypeGood statistical powerRegulationStatistical power
2016
The real cost of sequencing: scaling computation to keep pace with data generation
Muir P, Li S, Lou S, Wang D, Spakowicz DJ, Salichos L, Zhang J, Weinstock GM, Isaacs F, Rozowsky J, Gerstein M. The real cost of sequencing: scaling computation to keep pace with data generation. Genome Biology 2016, 17: 53. PMID: 27009100, PMCID: PMC4806511, DOI: 10.1186/s13059-016-0917-0.Peer-Reviewed Original ResearchAlgorithmsBiomedical ResearchComputational BiologyGenomicsHigh-Throughput Nucleotide SequencingHumansInformation Storage and Retrieval