kallisto is a program for quantifying abundances of transcripts from bulk and single-cell RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the novel idea of pseudoalignment for rapidly determining the compatibility of reads with targets, without the need for alignment. On benchmarks with standard RNA-Seq data, kallisto can quantify 30 million human reads in less than 3 minutes on a Mac desktop computer using only the read sequences and a transcriptome index that itself takes less than 10 minutes to build. Pseudoalignment of reads preserves the key information needed for quantification, and kallisto is therefore not only fast, but also as accurate as existing quantification tools. In fact, because the pseudoalignment procedure is robust to errors in the reads, in many benchmarks kallisto significantly outperforms existing tools.
This package is built using SPACK and optimized for AVX, AVX2 and AVX512 CPUs. To use the optimized version, you need to add source /etc/profile.d/zlmod.sh to your submit script before loading any modules. By default, the AVX2 optimized version (head node is Haswell CPU) is in your path. The AVX2 optimized version will run on Skylake (enge, im2080, chem, health) and Cascade Lake (hawkcpu, hawkmem, hawkgpu, infolab) CPUs but not on Ivybridge (debug) CPUs.
Version | module name |
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0.46.2 | kallisto/0.46.2 |
Nicolas L Bray, Harold Pimentel, Páll Melsted and Lior Pachter, Near-optimal probabilistic RNA-seq quantification, Nature Biotechnology 34, 525–527 (2016), doi:10.1038/nbt.3519
For more information visit http://pachterlab.github.io/kallisto