Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

preprint OA: closed CC-BY-NC-ND-4.0
📄 Open PDF View at publisher
⚙ AI-generated summary by claude@2026-07, 2026-07-16 ⓘ

Cuttlefish 2 significantly accelerates compacted de Bruijn graph construction for large genomic datasets, outperforming existing methods in speed and memory efficiency on commodity hardware.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

The de Bruijn graph is a key data structure in modern computational genomics, and construction of its compacted variant resides upstream of many genomic analyses. As the quantity of genomic data grows rapidly, this often forms a computational bottleneck. We present C uttlefish 2, significantly advancing the state-of-the-art for this problem. On a commodity server, it reduces the graph construction time for 661K bacterial genomes, of size 2.58Tbp, from 4.5 days to 17–23 hours; and it constructs the graph for 1.52Tbp white spruce reads in ∼10 hours, while the closest competitor requires 54–58 hours, using considerably more memory.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-30T02:00:01.510937+00:00
License: CC-BY-NC-ND-4.0