Evidence map›Paper›PMID 33823902›Full record

ArticleGenome biology2021

Simplitigs as an efficient and scalable representation of de Bruijn graphs.

Karel Břinda, Michael Baym, Gregory Kucherov

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Optimizing sparse and skew hashing: fasterbioRxiv : the preprint server for biology · 2026
    Article
  3. Elucidating Transitions ofJournal of computational biology : a journal of computational molecular cell biology · 2026
    Article
  4. Article
  5. Prokrustean Graph: A substring index for rapid k-mer size analysis.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Fractional hitting sets for efficient multiset sketching.Algorithms for molecular biology : AMB · 2025
    Article
  8. Article
  9. Compression algorithm for colored de Bruijn graphs.Algorithms for molecular biology : AMB · 2024
    Article
  10. Article
  11. Compression Algorithm for Colored de Bruijn Graphs.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Locality-preserving minimal perfect hashing of k-mers.Bioinformatics (Oxford, England) · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Sparse and skew hashing of K-mers.Bioinformatics (Oxford, England) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Karel BřindaDepartment of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA and Broad Institute of MIT and Harvard, Cambridge, USA. karel.brinda@hms.harvard.edu.ORCID 0000-0003-0200-557X
Michael Baym *Department of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA and Broad Institute of MIT and Harvard, Cambridge, USA.
Gregory Kucherov *CNRS/LIGM Univ Gustave Eiffel, Marne-la-Vallée, France.

Funding

Evolutionary Tradeoffs in Antibiotic ResistanceR35GM133700 · NIGMS · HARVARD MEDICAL SCHOOL · PI BAYM, MICHAEL · 2019 to 2023
$2.4M
NIGMS NIH HHS R35 GM133700NIGMS NIH HHS R35GM133700
6 · The paper itself

Abstract

de Bruijn graphs play an essential role in bioinformatics, yet they lack a universal scalable representation. Here, we introduce simplitigs as a compact, efficient, and scalable representation, and ProphAsm, a fast algorithm for their computation. For the example of assemblies of model organisms and two bacterial pan-genomes, we compare simplitigs to unitigs, the best existing representation, and demonstrate that simplitigs provide a substantial improvement in the cumulative sequence length and their number. When combined with the commonly used Burrows-Wheeler Transform index, simplitigs reduce memory, and index loading and query times, as demonstrated with large-scale examples of GenBank bacterial pan-genomes.

Indexed as

AlgorithmsSoftwareComputational BiologyGenomicsSequence Analysis, DNAData compressionde Bruijn graph representationde Bruijn graphsIndexingk-mersPan-genomesScalabilitySequence analysisSimplitigsStorage

Identifiers

PMID33823902
PMCPMC8025321

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.