Search Results - "SMYTH, K"
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The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads
Published in Nucleic acids research (07-05-2019)“…Abstract We present Rsubread, a Bioconductor software package that provides high-performance alignment and read counting functions for RNA-seq reads. Rsubread…”
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featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Published in Bioinformatics (01-04-2014)“…Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the…”
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The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Published in Nucleic acids research (01-05-2013)“…Read alignment is an ongoing challenge for the analysis of data from sequencing technologies. This article proposes an elegantly simple multi-seed strategy,…”
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ELDA: Extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays
Published in Journal of immunological methods (15-08-2009)“…ELDA is a software application for limiting dilution analysis (LDA), with particular attention to the needs of stem cell assays. It is the first limiting…”
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csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows
Published in Nucleic acids research (18-03-2016)“…Chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq) is widely used to identify binding sites for a target protein in the genome. An…”
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Published in Bioinformatics (01-01-2010)“…It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics…”
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ROBUST HYPERPARAMETER ESTIMATION PROTECTS AGAINST HYPERVARIABLE GENES AND IMPROVES POWER TO DETECT DIFFERENTIAL EXPRESSION
Published in The annals of applied statistics (01-06-2016)“…One of the most common analysis tasks in genomic research is to identify genes that are differentially expressed (DE) between experimental conditions…”
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voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Published in Genome biology (03-02-2014)“…New normal linear modeling strategies are presented for analyzing read counts from RNA-seq experiments. The voom method estimates the mean-variance…”
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Testing significance relative to a fold-change threshold is a TREAT
Published in Bioinformatics (15-03-2009)“…Motivation: Statistical methods are used to test for the differential expression of genes in microarray experiments. The most widely used methods successfully…”
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10
Gene ontology analysis for RNA-seq: accounting for selection bias
Published in Genome biology (04-02-2010)“…We present GOseq, an application for performing Gene Ontology (GO) analysis on RNA-seq data. GO analysis is widely used to reduce complexity and highlight…”
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Moderated statistical tests for assessing differences in tag abundance
Published in Bioinformatics (01-11-2007)“…Motivation: Digital gene expression (DGE) technologies measure gene expression by counting sequence tags. They are sensitive technologies for measuring gene…”
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Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Published in Nature protocols (01-09-2013)“…RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation,…”
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A single‐cell RNA expression atlas of normal, preneoplastic and tumorigenic states in the human breast
Published in The EMBO journal (01-06-2021)“…To examine global changes in breast heterogeneity across different states, we determined the single‐cell transcriptomes of > 340,000 cells encompassing normal…”
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Blimp-1 controls plasma cell function through the regulation of immunoglobulin secretion and the unfolded protein response
Published in Nature immunology (01-03-2016)“…The transcription factor Blimp-1 is required for the differentiation of activated B cells into plasmablasts. Nutt and colleagues show that plasma cells need…”
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From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline [version 2; peer review: 5 approved]
Published in F1000 research (2016)“…In recent years, RNA sequencing (RNA-seq) has become a very widely used technology for profiling gene expression. One of the most common aims of RNA-seq…”
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Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips
Published in Nucleic acids research (01-12-2010)“…Five strategies for pre-processing intensities from Illumina expression BeadChips are assessed from the point of view of precision and bias. The strategies…”
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diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data
Published in BMC bioinformatics (19-08-2015)“…Chromatin conformation capture with high-throughput sequencing (Hi-C) is a technique that measures the in vivo intensity of interactions between all pairs of…”
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Transcriptional profiling of mouse B cell terminal differentiation defines a signature for antibody-secreting plasma cells
Published in Nature immunology (01-06-2015)“…The process of B cell differentiation into plasma cells involves dramatic cellular reprogramming. Corcoran and colleagues profile the transcriptome of all…”
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Use of within-array replicate spots for assessing differential expression in microarray experiments
Published in Bioinformatics (01-05-2005)“…Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current methods for assessing differential expression are not able to…”
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Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer
Published in Genome Biology (14-11-2019)“…Elucidation of regulatory networks, including identification of regulatory mechanisms specific to a given biological context, is a key aim in systems biology…”
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