Evidence map›Paper›PMID 20211242›Full record

ReviewGenomics2010

Assembly algorithms for next-generation sequencing data.

Jason R Miller, Sergey Koren, Granger Sutton

Abstract readReview
In one paragraph

Review in Genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 481 papers.

0numbers the graph read from it
0cells of the map it votes in
481citing 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

481 citing papers in PubMed.

  1. Unphazed and Phogo: complete genome sequences of two EK1 clusterMicrobiology resource announcements · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Generalizable Direct Protein Sequencing With InstaNexus.Molecular & cellular proteomics : MCP · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genome Sequence ofmicroPublication biology · 2026
    Article
  14. Article
  15. Genome Sequences ofmicroPublication biology · 2026
    Article
  16. Genome Sequence of themicroPublication biology · 2026
    Article
  17. Review
  18. Article
  19. Genome Sequence ofmicroPublication biology · 2026
    Article
  20. Article

421 more citing papers are in PubMed but not listed here.

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.

Jason R MillerJ. Craig Venter Institute, Rockville, MD 20850-3343, USA. jmiller@jcvi.org
Sergey Koren
Granger Sutton

Funding

Development of Celera Whole Genome Shotgun AssemblerR01GM077117 · NIGMS · J. CRAIG VENTER INSTITUTE, INC. · PI MILLER, JASON RAFE · 2006 to 2011
$2.8M
NIGMS NIH HHS 2R01GM077117-04A1NIGMS NIH HHS R01 GM077117
6 · The paper itself

Abstract

The emergence of next-generation sequencing platforms led to resurgence of research in whole-genome shotgun assembly algorithms and software. DNA sequencing data from the Roche 454, Illumina/Solexa, and ABI SOLiD platforms typically present shorter read lengths, higher coverage, and different error profiles compared with Sanger sequencing data. Since 2005, several assembly software packages have been created or revised specifically for de novo assembly of next-generation sequencing data. This review summarizes and compares the published descriptions of packages named SSAKE, SHARCGS, VCAKE, Newbler, Celera Assembler, Euler, Velvet, ABySS, AllPaths, and SOAPdenovo. More generally, it compares the two standard methods known as the de Bruijn graph approach and the overlap/layout/consensus approach to assembly.

Indexed as

AlgorithmsForecastingSequence Analysis, DNASoftware

Identifiers

PMID20211242
PMCPMC2874646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.