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Cufflinks
Jul 20, 2023
Cufflinks assembles transcripts, estimates their abundance, etc
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.
Checkout these related ports:
- Wise - Intelligent algorithms for DNA searches
- Wfa2-lib - Exact gap-affine algorithm using homology to accelerate alignment
- Vt - Discovers short variants from Next Generation Sequencing data
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- Viennarna - Alignment tools for the structural analysis of RNA
- Velvet - Sequence assembler for very short reads
- Vcftools - Tools for working with VCF genomics files
- Vcflib - C++ library and CLI tools for parsing and manipulating VCF files
- Vcf2hap - Generate .hap file from VCF for haplohseq
- Vcf-split - Split a multi-sample VCF into single-sample VCFs
- Unikmer - Toolkit for nucleic acid k-mer analysis, set operations on k-mers
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