Simon Anders

发表

Diﬀerential analysis of count data – the DESeq2 package

Michael I. Love, Simon Anders, W olfgang Huber, 2013 .

RNA-Seq workflow: gene-level exploratory analysis and differential expression

Wolfgang Huber, Michael I. Love, Simon Anders, 2015, F1000Research.

Orchestrating high-throughput genomic analysis with Bioconductor

Raphael Gottardo, Robert Gentleman, Wolfgang Huber, 2015, Nature Methods.

proDA: Probabilistic Dropout Analysis for Identifying Differentially Abundant Proteins in Label-Free Mass Spectrometry

Simon Anders, Constantin Ahlmann-Eltze, S. Anders, 2019, bioRxiv.

FourCSeq: analysis of 4C sequencing data

Felix A. Klein, Simon Anders, Eileen E. M. Furlong, 2015, bioRxiv.

Processing and Visualisation of High-Throughput Sequencing Data with ShortRead and HilbertVis

Simon Anders, S. Anders, 2009 .

HTSeq—a Python framework to work with high-throughput sequencing data

Paul Theodor Pyl, Wolfgang Huber, Simon Anders, 2014, bioRxiv.

Create Interactive Linked Charts with Minimal Code [R package rlc version 0.3.0]

Simon Anders, Svetlana Ovchinnikova, 2020 .

analysis of count data { the DESeq2 package

Wolfgang Huber, Michael I. Love, Simon Anders, 2015 .

ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data

Robert Gentleman, Hervé Pagès, Simon Anders, 2009, Bioinform..

BioC 2012: Analyzing RNA-seq data for dierential exon usage with the DEXSeq package

Wolfgang Huber, Simon Anders, Alejandro Reyes, 2012 .

Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data

Simon Anders, Lea M. Urpa, S. Anders, 2019, BMC Bioinformatics.

Exploring dimension-reduced embeddings with Sleepwalk

Simon Anders, Svetlana Ovchinnikova, S. Anders, 2019, bioRxiv.

Visualisation of genomic data with the Hilbert curve

Simon Anders, S. Anders, Simon Anders, 2009 .

Exchange Commands Between R and 'JavaScript' [R package jrc version 0.4.0]

Simon Anders, Svetlana Ovchinnikova, 2020 .

Interactively Explore Dimension-Reduced Embeddings [R package sleepwalk version 0.3.1]

Simon Anders, Svetlana Ovchinnikova, 2020 .

HTSeq – A Python framework to work with high-throughput sequencing data

Paul Theodor Pyl, Wolfgang Huber, Simon Anders, 2014 .

An efficient method for genome-wide polyadenylation site mapping and RNA quantification

Vicent Pelechano, Simon Anders, Vladimir Benes, 2013, Nucleic acids research.

Drift and conservation of differential exon usage across tissues in primate species

Wolfgang Huber, Toby J. Gibson, Simon Anders, 2013, Proceedings of the National Academy of Sciences.

Detecting differential usage of exons from RNA-Seq data

Wolfgang Huber, Simon Anders, Alejandro Reyes, 2012 .

An Evaluation of High-Throughput Approaches to QTL Mapping in Saccharomyces cerevisiae

David J. Galas, Nikita A. Sakhanenko, Simon Anders, 2013, Genetics.

Analysing RNA-Seq data with the DESeq package

Simon Anders, S. Anders, 2011 .

Neural lineage induction reveals multi-scale dynamics of 3D chromatin organization

Wolfgang Huber, Felix A. Klein, Simon Anders, 2014, bioRxiv.

Love MI, Huber W, Anders S.. Moderated estimation of fold change and dispersion for RNA-Seq data with DESeq2. Genome Biol 15: 550

Wolfgang Huber, Michael I. Love, Simon Anders, 2014 .

Differential expression of RNA-Seq data at the gene level – the DESeq package

Wolfgang Huber, Simon Anders, W. Huber, 2012 .

Screening for SARS-CoV-2 infections with colorimetric RT-LAMP and LAMP sequencing

Simon Anders, Matthias Meurer, Daniel Kirrmaier, 2020, medRxiv.

Publisher Correction: Building an international consortium for tracking coronavirus health status

Matej Oresic, Hedi Peterson, Casey S. Greene, 2020, Nature Medicine.

Single-cell polyadenylation site mapping reveals 3′ isoform choice variability

Vicent Pelechano, Wolfgang Huber, Lars M Steinmetz, 2015, Molecular systems biology.

Genome-wide analysis of mRNA decay patterns during early Drosophila development

Wolfgang Huber, Sarath Chandra Janga, Simon Anders, 2010, Genome Biology.

Direct Competition between hnRNP C and U2AF65 Protects the Transcriptome from the Exonization of Alu Elements

Julian König, Nicholas M. Luscombe, Jernej Ule, 2013, Cell.

Relating CNVs to transcriptome data at fine resolution: assessment of the effect of variant size, type, and overlap with functional regions.

Wolfgang Huber, Simon Anders, Jan O Korbel, 2011, Genome research.