Related Experiment Video
Updated: Jan 30, 2026

Assessment of Calcium Sparks in Intact Skeletal Muscle Fibers
Published on: February 24, 2014
IMOS: improved Meta-aligner and Minimap2 On Spark
Mostafa Hadadian Nejad Yousefi1, Maziar Goudarzi2, Seyed Abolfazl Motahari1
1Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, Iran.
Background:
Long reads provide valuable information regarding the sequence composition of genomes. Long reads are usually very noisy which renders their alignments on the reference genome a daunting task. It may take days to process datasets enough to sequence a human genome on a single node. Hence, it is of primary importance to have an aligner which can operate on distributed clusters of computers with high performance in accuracy and speed.
Results:
In this paper, we presented IMOS, an aligner for mapping noisy long reads to the reference genome. It can be used on a single node as well as on distributed nodes. In its single-node mode, IMOS is an Improved version of Meta-aligner (IM) enhancing both its accuracy and speed. IM is up to 6x faster than the original Meta-aligner. It is also implemented to run IM and Minimap2 on Apache Spark for deploying on a cluster of nodes. Moreover, multi-node IMOS is faster than SparkBWA while executing both IM (1.5x) and Minimap2 (25x).
Conclusion:
In this paper, we purposed an architecture for mapping long reads to a reference. Due to its implementation, IMOS speed can increase almost linearly with respect to the number of nodes in a cluster. Also, it is a multi-platform application able to operate on Linux, Windows, and macOS.
Related Concept Videos
Directing Effect of Substituents: meta-Directing Groups
Design Example: Alignment of a Road Line Using GIS
Impression Management Techniques III: Aligning Actions
meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H
Improving Translational Accuracy
Improving Translational Accuracy

