Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data
Paulson J, Chen C, Lopes-Ramos C, Kuijjer M, Platig J, Sonawane A, Fagny M, Glass K, Quackenbush J. Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. BMC Bioinformatics 2017, 18: 437. PMID: 28974199, PMCID: PMC5627434, DOI: 10.1186/s12859-017-1847-x.Peer-Reviewed Original ResearchConceptsRNA-seq data setsRNA-seqGenotype-Tissue ExpressionRNA-seq processingGenome-wide transcriptional profilingRNA-seq studiesRNA-seq dataGene filteringDownstream analysisRNA sequencingTranscriptional profilesDiverse tissuesAnalytical pipelineR packageQuality controlSignificant analytical challengeSoftware pipelineGenesRNAMulti-group studyNormalization stepAnalytical challengesResultsWeTissueExpressionRegulatory network changes between cell lines and their tissues of origin
Lopes-Ramos C, Paulson J, Chen C, Kuijjer M, Fagny M, Platig J, Sonawane A, DeMeo D, Quackenbush J, Glass K. Regulatory network changes between cell lines and their tissues of origin. BMC Genomics 2017, 18: 723. PMID: 28899340, PMCID: PMC5596945, DOI: 10.1186/s12864-017-4111-x.Peer-Reviewed Original ResearchConceptsLymphoblastoid cell linesCell linesTranscription factor (TFChIP-seq dataRegulatory network changesRNA-seq dataTissue of originRegulatory network analysisCell cycle genesPrimary tissuesGene expression analysisEpstein-Barr virus-transformed lymphoblastoid cell linesChIP-seqVirus-transformed lymphoblastoid cell linesTF-targetRNA-seqGTEx projectTF regulationCycle genesTranscriptomic differencesBackgroundCell linesTranscript levelsExpression analysisFibroblast cell lineNetwork analysis