Wolfgang Huber
Wolfgang Huber
EMBL - European Molecular Biology Laboratory
Verified email at embl.de - Homepage
Cited by
Cited by
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
MI Love, W Huber, S Anders
Genome biology 15 (12), 1-21, 2014
Differential expression analysis for sequence count data
S Anders, W Huber
Nature Precedings, 1-1, 2010
Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman, VJ Carey, DM Bates, B Bolstad, M Dettling, S Dudoit, ...
Genome biology 5 (10), 1-16, 2004
HTSeq—a Python framework to work with high-throughput sequencing data
S Anders, PT Pyl, W Huber
bioinformatics 31 (2), 166-169, 2015
Enterotypes of the human gut microbiome
M Arumugam, J Raes, E Pelletier, D Le Paslier, T Yamada, DR Mende, ...
Nature 473 (7346), 174-180, 2011
Bioinformatics and computational biology solutions using R and Bioconductor
R Gentleman, VJ Carey, W Huber, RA Irizarry, S Dudoit
Springer, 2005
Variance stabilization applied to microarray data calibration and to the quantification of differential expression
W Huber, A Von Heydebreck, H Sültmann, A Poustka, M Vingron
Bioinformatics 18 (suppl_1), S96-S104, 2002
Orchestrating high-throughput genomic analysis with Bioconductor
W Huber, VJ Carey, R Gentleman, S Anders, M Carlson, BS Carvalho, ...
Nature methods 12 (2), 115-121, 2015
Software for computing and annotating genomic ranges
M Lawrence, W Huber, H Pages, P Aboyoun, M Carlson, R Gentleman, ...
PLoS computational biology 9 (8), e1003118, 2013
gplots: Various R programming tools for plotting data
GR Warnes, B Bolker, L Bonebakker, R Gentleman, W Huber, A Liaw, ...
R package version 2 (4), 1, 2009
Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt
S Durinck, PT Spellman, E Birney, W Huber
Nature protocols 4 (8), 1184-1191, 2009
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis
S Durinck, Y Moreau, A Kasprzyk, S Davis, B De Moor, A Brazma, ...
Bioinformatics 21 (16), 3439-3440, 2005
Detecting differential usage of exons from RNA-seq data
S Anders, A Reyes, W Huber
Nature Precedings, 1-1, 2012
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
S Anders, DJ McCarthy, Y Chen, M Okoniewski, GK Smyth, W Huber, ...
Nature protocols 8 (9), 1765-1786, 2013
Bidirectional promoters generate pervasive transcription in yeast
Z Xu, W Wei, J Gagneur, F Perocchi, S Clauder-Münster, J Camblong, ...
Nature 457 (7232), 1033-1037, 2009
arrayQualityMetrics—a bioconductor package for quality assessment of microarray data
A Kauffmann, R Gentleman, W Huber
Bioinformatics 25 (3), 415-416, 2009
Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes
B Neumann, T Walter, HÃ Jean-Karim
Nature 464 (7289), 721-727, 2010
A high-resolution map of transcription in the yeast genome
L David, W Huber, M Granovskaia, J Toedling, CJ Palm, L Bofkin, T Jones, ...
Proceedings of the National Academy of Sciences 103 (14), 5320-5325, 2006
Independent filtering increases detection power for high-throughput experiments
R Bourgon, R Gentleman, W Huber
Proceedings of the National Academy of Sciences 107 (21), 9546-9551, 2010
Two independent modes of chromatin organization revealed by cohesin removal
W Schwarzer, N Abdennur, A Goloborodko, A Pekowska, G Fudenberg, ...
Nature 551 (7678), 51-56, 2017
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