ArticleGenome biology2014
Corset: enabling differential gene expression analysis for de novo assembled transcriptomes.
Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 371 papers.
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Who cites it
371 citing papers in PubMed.
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- De novo transcriptome assembly of a pigmentation-variable population of cave snail Physella sp.Scientific data · 2026Article
- Transcriptome sequence resource for the hazelnut powdery mildew pathogen Erysiphe corylacearum.Scientific data · 2026Article
- Multi-omics unravels testis-regulated genetic mechanism of musk secretion in muskrat (Ondatra zibethicus).BMC genomics · 2026Article
- Integrated transcriptomic and metabolomic analyses reveal drought-response mechanisms in Suriana maritima from tropical coral islands.BMC plant biology · 2026Article
- Integrative utilization of genomic resources for improved phylogenetic resolution in Sonerileae (Melastomataceae).American journal of botany · 2026Article
- Herbaria provide a valuable resource for obtaining informative mRNA.Genome research · 2026Article
- Combined transcriptomic and proteomic analysis reveals the influence of sulfur availability on nitrogen and carbon metabolism and lipid accumulation in Tribonema minus (Xanthophyceae).Biotechnology for biofuels and bioproducts · 2026Article
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- BINge: Multispecies Ortholog Clustering for Differential Gene Expression Analyses.Molecular ecology resources · 2026Article
- Genetic Basis of UV Bullseye Size Variations in Turnip Rape (Brassica rapa subsp. oleifera).Plant biotechnology journal · 2026Article
- Multi-omics analysis reveals seasonal variation in ovarian lipid metabolism associated with vitamin DBMC genomics · 2026Article
311 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next generation sequencing has made it possible to perform differential gene expression studies in non-model organisms. For these studies, the need for a reference genome is circumvented by performing de novo assembly on the RNA-seq data. However, transcriptome assembly produces a multitude of contigs, which must be clustered into genes prior to differential gene expression detection. Here we present Corset, a method that hierarchically clusters contigs using shared reads and expression, then summarizes read counts to clusters, ready for statistical testing. Using a range of metrics, we demonstrate that Corset out-performs alternative methods. Corset is available from https://code.google.com/p/corset-project/.
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