Sri Parameswaran

This paper develops a lightweight k-mer model for RNA004 chemistry using basecaller move tables, achieving high alignment rates and comparable m6A detection performance to default models.

Squigualiser provides an interactive visualization tool for nanopore signal data, enabling alignment to reference genomes and comparison of multiple datasets.

The paper introduces minimap2-fpga, a hardware-accelerated version of minimap2 that improves mapping speed for long-read sequencing data with minimal accuracy loss.

slow5tools converts and manipulates nanopore sequencing data in the SLOW5 format, offering efficient and flexible data handling with performance improvements over FAST5.

The paper introduces SLOW5, a new file format for nanopore sequencing data that accelerates analysis on HPC systems by enabling efficient parallelization.

This paper introduces f5c, a GPU-optimized implementation of Adaptive Banded Event Alignment for faster nanopore signal analysis and DNA methylation detection.

The paper reduces memory requirements for long read alignment on mobile devices by optimizing parameters and merging techniques, enabling human genome alignment with 2GB RAM without accuracy loss.