2023
The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
Ben Guebila M, Wang T, Lopes-Ramos C, Fanfani V, Weighill D, Burkholz R, Schlauch D, Paulson J, Altenbuchinger M, Shutta K, Sonawane A, Lim J, Calderer G, van IJzendoorn D, Morgan D, Marin A, Chen C, Song Q, Saha E, DeMeo D, Padi M, Platig J, Kuijjer M, Glass K, Quackenbush J. The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks. Genome Biology 2023, 24: 45. PMID: 36894939, PMCID: PMC9999668, DOI: 10.1186/s13059-023-02877-1.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputational BiologyGene Regulatory NetworksHumansMultiomicsNeoplasmsSoftware
2021
Multivariable association discovery in population-scale meta-omics studies
Mallick H, Rahnavard A, McIver L, Ma S, Zhang Y, Nguyen L, Tickle T, Weingart G, Ren B, Schwager E, Chatterjee S, Thompson K, Wilkinson J, Subramanian A, Lu Y, Waldron L, Paulson J, Franzosa E, Bravo H, Huttenhower C. Multivariable association discovery in population-scale meta-omics studies. PLOS Computational Biology 2021, 17: e1009442. PMID: 34784344, PMCID: PMC8714082, DOI: 10.1371/journal.pcbi.1009442.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyComputer SimulationGastrointestinal MicrobiomeHumansInflammatory Bowel DiseasesMultivariate AnalysisConceptsMicrobial community measurementsMeta-omics studiesMicrobial community featuresMulti-omics datasetsControlling false discoveriesLandscape of inflammatory bowel diseaseHuman microbiomeMaAsLinMulti-omicsOmics profilesFalse discoveriesCommunity measuresMicrobiomeEnvironmental conditionsInflammatory bowel diseaseCommunity featuresHealth outcomesAssociation discoveryMultivariate associationsMultiple covariatesEpidemiological studiesLongitudinal designObservational studyStatistical powerZero-inflation
2018
Cancer subtype identification using somatic mutation data
Kuijjer M, Paulson J, Salzman P, Ding W, Quackenbush J. Cancer subtype identification using somatic mutation data. British Journal Of Cancer 2018, 118: 1492-1501. PMID: 29765148, PMCID: PMC5988673, DOI: 10.1038/s41416-018-0109-7.Peer-Reviewed Original ResearchConceptsSomatic mutation dataAssociated with mutationsNext-generation sequencing technologiesMutation dataBiological pathwaysSets of mutationsSignal transduction pathwaysCancer typesPan-cancer subtypesSequencing technologiesPhenotypic dataCancer Genome AtlasCancer subtype identificationTransduction pathwaysMutational driversSomatic mutationsSubgroup of patientsTargeted treatment optionsMutationsMutation patternsGenome AtlasClassification of patientsMutation profilesPrimary tumorPrognostic subtypesMetaviz: interactive statistical and visual analysis of metagenomic data
Wagner J, Chelaru F, Kancherla J, Paulson J, Zhang A, Felix V, Mahurkar A, Elmqvist N, Bravo H. Metaviz: interactive statistical and visual analysis of metagenomic data. Nucleic Acids Research 2018, 46: gky136-. PMID: 29529268, PMCID: PMC5887897, DOI: 10.1093/nar/gky136.Peer-Reviewed Original ResearchMeSH KeywordsBacteriaChildComputational BiologyDiarrheaHumansInternetMetagenomeMetagenomicsReproducibility of ResultsWeb BrowserWhole Genome SequencingConceptsWeb servicesInteractive exploratory data analysisMetagenomic shotgun sequencingState-of-the-artState-of-the-art analysis toolsMetagenomic samplesShotgun sequencingUser navigationMicrobial communitiesCommunity profilesData featuresData valuesDisease phenotypeMarker genesMetavizUsersData resourcesProcess dataVisual analysisAnalysis toolsHierarchical structureSignificant effortBioconductorMetagenomicsMicrobiome
2017
Estimating gene regulatory networks with pandaR
Schlauch D, Paulson J, Young A, Glass K, Quackenbush J. Estimating gene regulatory networks with pandaR. Bioinformatics 2017, 33: 2232-2234. PMID: 28334344, PMCID: PMC5870629, DOI: 10.1093/bioinformatics/btx139.Peer-Reviewed Original Research