about
DNA methylation patterns associate with genetic and gene expression variation in HapMap cell linesAccurate inference of transcription factor binding from DNA sequence and chromatin accessibility dataDense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosisA survey of best practices for RNA-seq data analysisExon-specific QTLs skew the inferred distribution of expression QTLs detected using gene expression array dataEffect of the assignment of ancestral CpG state on the estimation of nucleotide substitution rates in mammalsUnexpected conserved non-coding DNA blocks in mammals.The scale of mutational variation in the murid genomeGenomic selective constraints in murid noncoding DNAGenetic background drives transcriptional variation in human induced pluripotent stem cells.Epithelial IL-22RA1-mediated fucosylation promotes intestinal colonization resistance to an opportunistic pathogenThe contribution of RNA decay quantitative trait loci to inter-individual variation in steady-state gene expression levels.Controls of nucleosome positioning in the human genome.False positive peaks in ChIP-seq and other sequencing-based functional assays caused by unannotated high copy number regionsActivin/nodal signaling and NANOG orchestrate human embryonic stem cell fate decisions by controlling the H3K4me3 chromatin mark.Transcriptional profiling of macrophages derived from monocytes and iPS cells identifies a conserved response to LPS and novel alternative transcriptionDissecting the regulatory architecture of gene expression QTLs.Early maturation and distinct tau pathology in induced pluripotent stem cell-derived neurons from patients with MAPT mutations.Functional constraints and frequency of deleterious mutations in noncoding DNA of rodentsFine-mapping cellular QTLs with RASQUAL and ATAC-seq.AHT-ChIP-seq: a completely automated robotic protocol for high-throughput chromatin immunoprecipitation.Erratum to: A survey of best practices for RNA-seq data analysis.Evolutionary constraints in conserved nongenic sequences of mammals.Common genetic variation drives molecular heterogeneity in human iPSCs.Molecular and functional variation in iPSC-derived sensory neurons.Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response.DNA sequence error rates in Genbank records estimated using the mouse genome as a reference.Corrigendum: Common genetic variation drives molecular heterogeneity in human iPSCsCardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variantsErratum: Corrigendum: Fine-mapping cellular QTLs with RASQUAL and ATAC-seqCorrection: Gene expression and isoform variation analysis using Affymetrix exon arraysQuantifying the Slightly Deleterious Mutation Model of Molecular EvolutionHigh-resolution genetic mapping of putative causal interactions between regions of open chromatin.Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomesMapping and predicting gene-enhancer interactionsN6-methyladenosine regulates the stability of RNA:DNA hybrids in human cellsSouporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes
P50
Q21184030-9E97F480-3D26-469D-B3D4-F23212C0EC12Q24614616-44B29683-4AE5-4555-B50A-9A8221FBABABQ24633290-77C03B15-C041-475D-8FF0-20477A21B9A1Q28071394-9DDBAD22-C840-4335-85CA-AB219FA07C60Q28732047-AC2E0093-268D-4F42-8164-5168D8796F55Q30848150-D71352E5-056E-40ED-93E7-D80CDA90D1DFQ33204943-88E6782D-41DC-42C0-9B5F-68C34532D881Q33219707-C0A5F919-B18D-43B4-B640-B0D132D81DFEQ33266436-1E6BBF83-E416-4D56-A895-25996A2BDD52Q33716774-22051BA5-076C-4EBA-8D75-AC7293985520Q34308070-52017294-3E49-4F35-BFFC-5FD899751061Q34446672-BB32A4B2-3B14-4522-A99E-22CF03E7E81DQ34481868-822C202B-4D49-40A5-ACF7-D775FC211850Q35107944-ABEB91AE-C293-4F9E-98D5-E74F5080B36DQ35293734-EE00FB0E-18CE-4361-A922-BCB144745F86Q35902160-802384FB-05CC-4C3B-8DDA-0D73A4C3DA6DQ35907602-00B6AA6B-3078-493F-B031-A9F9CF1BF19EQ36206015-949852B5-A717-4357-949B-772FFB504952Q37089364-25B9B3C9-7A49-469C-B648-D4EAEBE7A3A2Q40222202-B1C24558-0D7C-45C4-8A0B-5F1CBE09F064Q40590257-2615CBA7-8176-4A89-8F75-734D6A59CA0DQ42401162-9FB9947C-360D-45FE-9335-DE2FAC3E6871Q42548494-27F1BFA5-31DD-4766-AA9A-797FD7F62A04Q42830893-9085B036-3C2E-4DD9-AD26-C2078878D270Q48138549-FA3502F0-E27E-4044-A77E-2AC8CCA158ABQ48146612-8CBDE202-403E-454F-84A6-DEC9251F2BA9Q48157443-41AA7B21-13C4-4F7C-8CF1-22CB9C9A36D7Q56902553-9A9F1F00-A5F0-44CA-8E7C-644A41E558D3Q57675373-ED72699A-C60D-4105-820F-40AD4F77FB56Q57675380-9BE5FF84-14BF-48F8-891A-B914A7AC3B7EQ57675392-CC9330BE-DF92-446F-A57D-F9D466B6A5E4Q57675399-A1B68FD5-32F5-49AD-8DA0-0D3F54229449Q64980944-7A528B12-CF36-4165-A2E4-F4FAA059CDD5Q90591088-CB91F4DB-3D48-4569-AACB-6EEF60338525Q91560421-21B4F71A-5D2A-4636-875E-8A19B281F23FQ92026174-81BC0B5B-DEA2-4A42-A997-AA378DD76B83Q94521708-3E601478-DC2F-4F5E-B049-4280AE52F0B4
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
研究者
@zh
name
Daniel J Gaffney
@ast
Daniel J Gaffney
@en
Daniel J Gaffney
@es
Daniel J Gaffney
@nl
Daniel J Gaffney
@sl
type
label
Daniel J Gaffney
@ast
Daniel J Gaffney
@en
Daniel J Gaffney
@es
Daniel J Gaffney
@nl
Daniel J Gaffney
@sl
altLabel
D J Gaffney
@en
Daniel Gaffney
@en
prefLabel
Daniel J Gaffney
@ast
Daniel J Gaffney
@en
Daniel J Gaffney
@es
Daniel J Gaffney
@nl
Daniel J Gaffney
@sl
P106
P21
P31
P496
0000-0002-1529-1862