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Oliver Stegle

Name	Oliver Stegle
Ort	Heidelberg (Wirkungsort) Deutschland
Akademischer Grad bzw. Titel	Prof. Dr.
Beziehung	Deutsches Krebsforschungszentrum European Molecular Biology Laboratory University of Cambridge (Promotion) (2009)
Weitere Angaben	Stand 2019: Gruppenleiter einer Forschungsgruppe am EMBL, Heidelberg sowie Mitarbeiter in der Abteilung Bioinformatik der Genomik und Systemgenetik am DKFZ, Heidelberg
Datensatztyp	Person
GND-Nummer	1198235063
Datensatz-ID	1198235063
Beteiligt an alle anzeigen Four Core Genotypes mice harbour a 3.2MB X-Y translocation that perturbs Tlr7 dosage Integration of variant annotations using deep set networks boosts rare variant association testing scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood SpatialData: an open and universal data framework for spatial omics The dynamic genetic determinants of increased transcriptional divergence in spermatids Modeling epigenetic heterogeneity across time and genome in single-cell multi-omics experiments OME-Zarr: a cloud-optimized bioimaging file format with international community support pycoMeth: a toolbox for differential methylation testing from Nanopore methylation calls Methods for Epigenetic Analyses from Long-Read Sequencing Data Structured data abstractions and interpretable latent representations for single-cell multimodal genomics MUON: multimodal omics analysis framework scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation CellRegMap: a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq Framework and baseline examination of the German National Cohort (NAKO) Multi-omics profiling of JMML HSPCs reveals onco-fetal reprogramming and identifies novel prognostic biomarkers and therapeutic targets in high-risk JMML [Abstract] Dissecting indirect genetic effects from peers in laboratory mice Cell segmentation-free inference of cell types from in situ transcriptomics data Establishing highly multiplexed microfluidic screening of protein-antibody interactions LifeTime and improving European healthcare through cell-based interceptive medicine MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data Eleven grand challenges in single-cell data science Natural sequence variation as a tool to dissect gene expression regulation in Drosophila melanogaster Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1 The Kipoi repository accelerates community exchange and reuse of predictive models for genomics Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis A linear mixed-model approach to study multivariate gene–environment interactions The germline genetic component of drug sensitivity in cancer cell lines scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq Erratum to: DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning Multi-tissue DNA methylation age predictor in mouse DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells Deep learning for computational biology

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Katalog der Deutschen Nationalbibliothek

Oliver Stegle

Four Core Genotypes mice harbour a 3.2MB X-Y translocation that perturbs Tlr7 dosage

Integration of variant annotations using deep set networks boosts rare variant association testing

scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood

SpatialData: an open and universal data framework for spatial omics

The dynamic genetic determinants of increased transcriptional divergence in spermatids

Modeling epigenetic heterogeneity across time and genome in single-cell multi-omics experiments

OME-Zarr: a cloud-optimized bioimaging file format with international community support

pycoMeth: a toolbox for differential methylation testing from Nanopore methylation calls

Methods for Epigenetic Analyses from Long-Read Sequencing Data

Structured data abstractions and interpretable latent representations for single-cell multimodal genomics

MUON: multimodal omics analysis framework

scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation

CellRegMap: a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq

Framework and baseline examination of the German National Cohort (NAKO)

Multi-omics profiling of JMML HSPCs reveals onco-fetal reprogramming and identifies novel prognostic biomarkers and therapeutic targets in high-risk JMML [Abstract]

Dissecting indirect genetic effects from peers in laboratory mice

Cell segmentation-free inference of cell types from in situ transcriptomics data

Establishing highly multiplexed microfluidic screening of protein-antibody interactions

LifeTime and improving European healthcare through cell-based interceptive medicine

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Eleven grand challenges in single-cell data science

Natural sequence variation as a tool to dissect gene expression regulation in Drosophila melanogaster

Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference

Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1

The Kipoi repository accelerates community exchange and reuse of predictive models for genomics

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects

Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis

A linear mixed-model approach to study multivariate gene–environment interactions

The germline genetic component of drug sensitivity in cancer cell lines

scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq

Erratum to: DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

Multi-tissue DNA methylation age predictor in mouse

DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types

Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells

Deep learning for computational biology