Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 9,491

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Velvet: Algorithms for de novo short read assembly using de Bruijn graphs

Open access
Zerbino, Daniel R., Birney, Ewan·2008·Genome Research

Abstract

We have developed a new set of algorithms, collectively called “Velvet,” to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representation based on short words ( k -mers) that is ideal for high coverage, very short read (25–50 bp) data sets. Applying Velvet to very short reads and paired-ends information only, one can produce contigs of significant length, up to 50-kb N50 length in simulations of prokaryotic data and 3-kb N50 on simulated mammalian BACs. When applied to real Solexa data sets without read pairs, Velvet generated contigs of ∼8 kb in a prokaryote and 2 kb in a mammalian BAC, in close agreement with our simulated results without read-pair information. Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/gr.074492.107

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 25

  1. Batzoglou, S. (2005) in Encyclopedia of genomics, proteomics and bioinformatics, Algorithmic challenges in mammalian genome sequence assembly, ed Dunn, M. (John Wiley and Sons, New York) Part 4. · DOI
  2. 10.1101/gr.208902 · DOI · Paper page
  3. 10.1016/j.gde.2006.10.009 · DOI · Paper page
  4. 10.1093/bioinformatics/bti129 · DOI
  5. 10.1093/bioinformatics/bth205 · DOI
  6. 10.1101/gr.6435207 · DOI
  7. Gross, J.L. Yellen, J. (2004) Handbook of graph theory (CRC Press LLC, Boca Raton, FL). · DOI
  8. 10.1101/gr.2264004 · DOI
  9. 10.1101/gr.1390403 · DOI · Paper page
  10. Idury,, 1995, A new algorithm for DNA sequence assembly, J. Comput. Biol., 2, 291, 10.1089/cmb.1995.2.291 · DOI · Paper page
  11. 10.1038/35057062 · DOI · Paper page
  12. 10.1093/bioinformatics/btm451 · DOI
  13. 10.1038/ng.2007.9 · DOI
  14. 10.1126/science.1141319 · DOI · Paper page
  15. 10.1038/nmeth726 · DOI
  16. 10.1016/0888-7543(88)90007-9 · DOI · Paper page
  17. Margulies,, 2005, Genome sequencing in microfabricated high-density picolitre reactors, Nature, 437, 376, 10.1038/nature03959 · DOI · Paper page
  18. 10.1101/gr.3770505 · DOI
  19. 10.1093/bioinformatics/bti1114 · DOI · Paper page
  20. 10.1126/science.287.5461.2196 · DOI · Paper page
  21. 10.1073/pnas.171285098 · DOI · Paper page
  22. Shah, M.K. Lee, H. Rogers, S.A. Touchman, J.W. (2004) Computational Systems Bioinformatics Conference, An exhaustive genome assembly algorithm using k-mers to indirectly perform n-squared comparisons in O(n) (IEEE, New York), pp 740–741.
  23. 10.1186/1471-2105-6-31 · DOI
  24. 10.1371/journal.pone.0000484 · DOI
  25. Warren,, 2007, Assembling millions of short DNA sequences using SSAKE, Bioinformatics, 4, 500, 10.1093/bioinformatics/btl629 · DOI

Cited by

See all 9,491

Metadata

Authors
Zerbino, D. R., & Birney, E.
Venue
Genome Research
Published
2008-03-18
Volume
18
Issue
5
Pages
821-829
ISSN
1088-9051 (ISSN-L)
OpenAlex
W2160969485
Cited by
9,491
References
3
Type
posted content
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.