Improving gene isoform quantification with miniQuant (original) (raw)

Published April 18, 2025 | Version v1.1

Software Open

Authors/Creators

• 1. University of Michigan–Ann Arbor

Description

miniQuant features:

1. Optimal use of long and/or short RNA-seq reads: transcript abundance estimation that can be applied to different data scenarios: long-read-alone and hybrid (long reads + short reads) integrating the strengths of both technologies.
2. Fast RNA-seq quantification: less than 15 minutes to analyze unaligned 40 million paired-end short reads + 5 million long reads on a standard laptop computer.
3. Calculate novel K-value metric: a key feature of the sequence share pattern that causes particularly high abundance estimation error, allowing us to identify a problematic set of gene isoforms with erroneous quantification that researchers should take extra attention in the study.

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