R. Schwessinger

发表

DeepC: Predicting chromatin interactions using megabase scaled deep neural networks and transfer learning

Yee Whye Teh, Jelena Telenius, Gerton Lunter, 2019, bioRxiv.

Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints

J. Telenius, R. Schwessinger, J. Hughes, 2017, Genome research.

Single-cell chromatin interactions reveal regulatory hubs in dynamic compartmentalized domains

J. Dekker, J. Telenius, R. Schwessinger, 2018, bioRxiv.

Single-allele chromatin interactions identify regulatory hubs in dynamic compartmentalized domains

Simona Bianco, Mario Nicodemi, Damien J Downes, 2018, Nature Genetics.

An integrated platform to systematically identify causal variants and genes for polygenic human traits

Calliope A. Dendrou, J. Todd, G. Lunter, 2019, bioRxiv.

Targeted high-resolution chromosome conformation capture at genome-wide scale

J. Telenius, R. Schwessinger, Matthew E. Gosden, 2020, bioRxiv.

CaptureCompendium: a comprehensive toolkit for 3C analysis

J. Telenius, R. Schwessinger, D. Downes, 2020, bioRxiv.

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Calliope A. Dendrou, I. Pavord, J. Todd, 2021, Cell.

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19

Calliope A. Dendrou, I. Pavord, G. Rodger, 2022, The Lancet Digital Health.

The chromatin remodeller ATRX facilitates diverse nuclear processes, in a stochastic manner, in both heterochromatin and euchromatin

R. Schwessinger, Matthew E. Gosden, D. Downes, 2022, Nature Communications.

Whole-genome sequencing of chronic lymphocytic leukemia identifies subgroups with distinct biological and clinical features

M. Caulfield, D. Bentley, M. Ross, 2022, Nature Genetics.

Defining genome architecture at base-pair resolution

R. Schwessinger, D. Downes, J. Hughes, 2021, Nature.

Dynamic Runx1 chromatin boundaries affect gene expression in hematopoietic development

Lucas V. Greder, R. Schwessinger, D. Downes, 2021, bioRxiv.

Enhancers predominantly regulate gene expression during differentiation via transcription initiation.

R. Schwessinger, D. Downes, J. Hughes, 2021, Molecular cell.

DeepC: predicting 3D genome folding using megabase-scale transfer learning

Yee Whye Teh, Gerton Lunter, Jim R Hughes, 2020, Nature Methods.

Identification of LZTFL1 as a candidate effector gene at a COVID-19 risk locus

J. Todd, J. Knight, I. Melero, 2021, Nature Genetics.

Recapitulation of erythropoiesis in congenital dyserythropoietic anemia type I (CDA-I) identifies defects in differentiation and nucleolar abnormalities

M. Brand, D. Ferguson, R. Schwessinger, 2020, Haematologica.

Enhancers predominantly regulate gene expression in vivo via transcription initiation

M. Bender, R. Schwessinger, D. Downes, 2019, bioRxiv.

High-resolution targeted 3C interrogation of cis-regulatory element organization at genome-wide scale

R. Schwessinger, Matthew E. Gosden, D. Downes, 2021, Nature Communications.

Targeting Fibroblast Growth Factor Receptor 1 for Treatment of Soft-Tissue Sarcoma

C. von Kalle, S. Fröhling, D. Jäger, 2016, Clinical Cancer Research.

Single-allele chromatin interactions identify regulatory hubs in dynamic compartmentalized domains

J. Dekker, R. Schwessinger, D. Downes, 2018, Nature Genetics.

Modelling erythropoiesis in congenital dyserythropoietic anaemia type I (CDA-I)

M. Brand, D. Ferguson, R. Schwessinger, 2019, bioRxiv.

Dynamic Runx1 chromatin boundaries affect gene expression in hematopoietic development

Lucas V. Greder, R. Schwessinger, D. Downes, 2022, Nature Communications.

Single-cell gene expression prediction from DNA sequence at large contexts

R. Schwessinger, Kim M Branson, Stephen Young, 2023, bioRxiv.

Direct correction of haemoglobin E β-thalassaemia using base editors

R. Schwessinger, J. Hughes, D. Higgs, 2023, Nature communications.

Generalising sequence models for epigenome predictions with tissue and assay embeddings

R. Schwessinger, K. Branson, J. Deasy, 2023, arXiv.org.

Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases

A. Pagnamenta, N. Popitsch, G. Lunter, 2023, Genome Medicine.

Iron overload induces dysplastic erythropoiesis and features of myelodysplasia in Nrf2-deficient mice

R. Schwessinger, R. Henrique, H. Drakesmith, 2023, Leukemia.

Single-cell gene expression prediction from DNA sequence at large contexts

R. Schwessinger, Stephen Young, Robert T. Woodruff, 2023, bioRxiv.