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minimap2

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GateSeeder is the first near-memory CPU-FPGA co-design for alleviating both the compute-bound and memory-bound bottlenecks in short and long-read mapping. GateSeeder outperforms Minimap2 by up to 40.3×, 4.8×, and 2.3× when mapping real ONT, HiFi, and Illumina reads, respectively.

  • Updated Oct 3, 2023
  • C

The first work to provide a comprehensive survey of a prominent set of algorithmic improvement and hardware acceleration efforts for the entire genome analysis pipeline used for the three most prominent sequencing data, short reads (Illumina), ultra-long reads (ONT), and accurate long reads (HiFi). Described in arXiv (2022) by Alser et al. https…

  • Updated Jun 14, 2022

Third generation sequencing techniques rapidly evolved as a common practice in molecular biology. Great advances have been made in terms of feasibility, cost, throughput, and read-length. However, sample contamination still poses a big issue: it complicates correct, high-quality downstream analysis of sequencing data and usage in medical applica…

  • Updated May 9, 2020
  • TypeScript

Genome-on-Diet is a fast and memory-frugal framework for exemplifying sparsified genomics for read mapping, containment search, and metagenomic profiling. It is much faster & more memory-efficient than minimap2 for Illumina, HiFi, and ONT reads. Described by Alser et al. (preliminary version: https://arxiv.org/abs/2211.08157).

  • Updated Sep 28, 2023
  • Roff

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