kallisto | Near-optimal RNA-Seq quantification | Genomics library

kallisto is a C library typically used in Artificial Intelligence, Genomics applications. kallisto has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

kallisto is a program for quantifying abundances of transcripts from 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 bulk RNA-seq reads in less than 3 minutes on a Mac desktop computer using only the read sequences and a transcriptome index that itself takes than 10 minutes to build. Pseudoalignment of reads preserves the key information needed for quantification, and kallisto is therefore not only fast, but also comparably accurate to other existing quantification tools. In fact, because the pseudoalignment procedure is robust to errors in the reads, in many benchmarks kallisto significantly outperforms existing tools. The kallisto algorithms are described in more detail in:. NL Bray, H Pimentel, P Melsted and L Pachter, Near optimal probabilistic RNA-seq quantification, Nature Biotechnology 34, p 525--527 (2016).