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Updated: Mar 23, 2026

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
Published on: February 2, 2024
Near-optimal probabilistic RNA-seq quantification
Nicolas L Bray1, Harold Pimentel2, Páll Melsted3
1Innovative Genomics Initiative, University of California, Berkeley, California, USA.
Abstract:
We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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