Cufflinks is a package for transcriptome assembly and differential expression analysis for RNA-Seq.
From the official page:
Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology, led by Lior Pachter at UC Berkeley, Steven Salzberg’s computational genomics group at the Institute of Genetic Medicine at Johns Hopkins University, and Barbara Wold’s lab at Caltech. The project is now maintained by Cole Trapnell’s lab at the University of Washington.
CyVerse UK provides a number of Cufflinks applications:
- Cufflinks to assemble transcriptomes from RNA-Seq data and quantify their expression.
- Cuffmerge to merge different assemblies into a master transcriptome.
- Cuffdiff to compare expression levels of genes and transcripts in RNA-seq experiments.
See the official website for more details.