Seuraa
Oliver Stegle
Oliver Stegle
German Cancer Research Center (DKFZ) & EMBL Heidelberg
Vahvistettu sähköpostiosoite verkkotunnuksessa dkfz.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
A global reference for human genetic variation
1000 Genomes Project Consortium
Nature 526 (7571), 68, 2015
166472015
Pan-cancer analysis of whole genomes
Nature 578 (7793), 82-93, 2020
2598*2020
An integrated map of structural variation in 2,504 human genomes
PH Sudmant, T Rausch, EJ Gardner, RE Handsaker, A Abyzov, ...
Nature 526 (7571), 75-81, 2015
25772015
The human cell atlas
A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ...
elife 6, e27041, 2017
23272017
Transcriptome and genome sequencing uncovers functional variation in humans
T Lappalainen, M Sammeth, MR Friedländer, PAC ‘t Hoen, J Monlong, ...
Nature 501 (7468), 506-511, 2013
21282013
Deep learning for computational biology
C Angermueller, T Pärnamaa, L Parts, O Stegle
Molecular systems biology 12 (7), 878, 2016
17342016
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
U Võsa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ...
Nature genetics 53 (9), 1300-1310, 2021
1713*2021
Severe COVID-19 is marked by a dysregulated myeloid cell compartment
J Schulte-Schrepping, N Reusch, D Paclik, K Baßler, S Schlickeiser, ...
Cell 182 (6), 1419-1440. e23, 2020
14362020
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
F Buettner, KN Natarajan, FP Casale, V Proserpio, A Scialdone, FJ Theis, ...
Nature biotechnology 33 (2), 155-160, 2015
13132015
Computational and analytical challenges in single-cell transcriptomics
O Stegle, SA Teichmann, JC Marioni
Nature Reviews Genetics 16 (3), 133-145, 2015
13062015
Eleven grand challenges in single-cell data science
D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ...
Genome biology 21, 1-35, 2020
11892020
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
SA Smallwood, HJ Lee, C Angermueller, F Krueger, H Saadeh, J Peat, ...
Nature methods 11 (8), 817-820, 2014
11892014
Whole-genome sequencing of multiple Arabidopsis thaliana populations
J Cao, K Schneeberger, S Ossowski, T Günther, S Bender, J Fitz, ...
Nature Genetics 43 (10), 956-963, 2011
11142011
Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters
BM Javierre, OS Burren, SP Wilder, R Kreuzhuber, SM Hill, S Sewitz, ...
Cell 167 (5), 1369-1384. e19, 2016
10742016
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
R Argelaguet, B Velten, D Arnol, S Dietrich, T Zenz, JC Marioni, F Buettner, ...
Molecular systems biology 14 (6), e8124, 2018
10582018
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
O Stegle, L Parts, M Piipari, J Winn, R Durbin
Nature protocols 7 (3), 500-507, 2012
10562012
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.
SMIII Consortium
Nature Biotechnology 32 (9), 903-914, 2014
8972014
Comprehensive analysis of alternative splicing across tumors from 8,705 patients
A Kahles, KV Lehmann, NC Toussaint, M Hüser, SG Stark, ...
Cancer cell 34 (2), 211-224. e6, 2018
8482018
Spontaneous epigenetic variation in the Arabidopsis thaliana methylome
C Becker, J Hagmann, J Müller, D Koenig, O Stegle, K Borgwardt, ...
Nature 480 (7376), 245-249, 2011
7932011
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
C Angermueller, SJ Clark, HJ Lee, IC Macaulay, MJ Teng, TX Hu, ...
Nature methods 13 (3), 229-232, 2016
7732016
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Artikkelit 1–20