Sara Aibar
Sara Aibar
VIB-KU Leuven
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Cited by
Cited by
SCENIC: single-cell regulatory network inference and clustering
SA Sara Aibar, Carmen Bravo González-Blas, Thomas Moerman, Vân Anh Huynh-Thu ...
Nature Methods, 2017
Phenotype molding of stromal cells in the lung tumor microenvironment
D Lambrechts, E Wauters, B Boeckx, S Aibar, D Nittner, O Burton, ...
Nature medicine 24 (8), 1277, 2018
A single-cell transcriptome atlas of the aging Drosophila brain
K Davie, J Janssens, D Koldere, M De Waegeneer, U Pech, Ł Kreft, ...
Cell 174 (4), 982-998. e20, 2018
Toward minimal residual disease-directed therapy in melanoma
F Rambow, A Rogiers, O Marin-Bejar, S Aibar, J Femel, M Dewaele, ...
Cell 174 (4), 843-855. e19, 2018
A scalable SCENIC workflow for single-cell gene regulatory network analysis
B Van de Sande, C Flerin, K Davie, M De Waegeneer, G Hulselmans, ...
Nature Protocols 15 (7), 2247-2276, 2020
Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd
Z Wang, CD Monteiro, KM Jagodnik, NF Fernandez, GW Gundersen, ...
Nature communications 7 (1), 1-11, 2016
cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data
CB González-Blas, L Minnoye, D Papasokrati, S Aibar, G Hulselmans, ...
Nature methods 16 (5), 397-400, 2019
GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks
T Moerman, S Aibar, CB González-Blas, J Simm, Y Moreau, J Aerts, ...
Bioinformatics, 2018
Mapping gene regulatory networks from single-cell omics data
MWEJ Fiers, L Minnoye, S Aibar, C Bravo González-Blas, Z Kalender Atak, ...
Briefings in functional genomics 17 (4), 246-254, 2018
The transcription factor Grainy head primes epithelial enhancers for spatiotemporal activation by displacing nucleosomes
J Jacobs, M Atkins, K Davie, H Imrichova, L Romanelli, V Christiaens, ...
Nature genetics 50 (7), 1011-1020, 2018
Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering
S Aibar, C Fontanillo, C Droste, J De Las Rivas
Bioinformatics 31 (10), 1686-1688, 2015
Decoding gene regulation in the fly brain
J Janssens, S Aibar, II Taskiran, JN Ismail, AE Gomez, G Aughey, ...
Nature, 1-7, 2022
Identification of genomic enhancers through spatial integration of single‐cell transcriptomics and epigenomics
C Bravo González‐Blas, XJ Quan, R Duran‐Romaña, II Taskiran, ...
Molecular systems biology 16 (5), e9438, 2020
Genome-wide profiling of methylation identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes
M del Rey, K O'Hagan, M Dellett, S Aibar, HAA Colyer, ME Alonso, ...
Leukemia, 2012
Comparative oncogenomics identifies tyrosine kinase FES as a tumor suppressor in melanoma
M Olvedy, JC Tisserand, F Luciani, B Boeckx, J Wouters, S Lopez, ...
The Journal of Clinical Investigation 127 (6), 2310-2325, 2017
Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles
S Aibar, C Fontanillo, C Droste, B Roson-Burgo, FJ Campos-Laborie, ...
BMC genomics 16 (5), 1, 2015
Identification of expression patterns in the progression of disease stages by integration of transcriptomic data
S Aibar, M Abaigar, FJ Campos-Laborie, JM Sánchez-Santos, ...
BMC bioinformatics 17 (15), 11-21, 2016
Identification of Novel Direct Targets of Drosophila Sine Oculis by Integration of Genome-wide Data Sets
M Jin, S Aibar, Z Ge, R Chen, S Aerts, G Mardon
Developmental Biology 415 (1), 157–167, 2016
Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer
C Fontanillo, S Aibar, JM Sanchez-Santos, J De Las Rivas
BMC genomics 13 (5), 1, 2012
Gene Expression Analysis and Profiling of Microarrays Data and RNA-Sequencing Data
J De Las Rivas, S Aibar, B Roson
Fundamentals of Advanced Omics Technologies: From Genes to Metabolites 63, 355, 2014
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