Evidence map›Paper›PMID 32781410›Full record

ArticleiScience2020

HASLR: Fast Hybrid Assembly of Long Reads.

Ehsan Haghshenas, Hossein Asghari, Jens Stoye, Cedric Chauve, Faraz Hach

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

34 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Benchmarking of bioinformatics tools for the hybridComputational and structural biotechnology journal · 2025
    Article
  7. Fusarium Genome Sequencing and Assembly.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. AssessingiScience · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Comparative Genomic Analysis ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. IntegratedNAR genomics and bioinformatics · 2023
    Article
  18. Review
  19. Access microbiology · 2023
    Article
  20. Review
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

5 authors at 4 institutions in 3 countries.

Ehsan HaghshenasSchool of Computing Science, Simon Fraser University, Burnaby, BC V5A1S6, Canada; Vancouver Prostate Centre, Vancouver, BC V6H3Z6, Canada.
Hossein AsghariSchool of Computing Science, Simon Fraser University, Burnaby, BC V5A1S6, Canada; Vancouver Prostate Centre, Vancouver, BC V6H3Z6, Canada.
Jens StoyeFaculty of Technology and Center for Biotechnology, Bielefeld University, Bielefeld, Germany.
Cedric ChauveDepartment of Mathematics, Simon Fraser University, Burnaby, BC V5A1S6, Canada; LaBRI, Université de Bordeaux, Bordeaux, France.
Faraz HachVancouver Prostate Centre, Vancouver, BC V6H3Z6, Canada; Department of Urologic Sciences, University of British Columbia, Vancouver, BC V5Z1M9, Canada. Electronic address: faraz.hach@ubc.ca.
Simon Fraser University · CABielefeld University · DEUniversité de Bordeaux · FRUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Third-generation sequencing technologies from companies such as Oxford Nanopore and Pacific Biosciences have paved the way for building more contiguous and potentially gap-free assemblies. The larger effective length of their reads has provided a means to overcome the challenges of short to mid-range repeats. Currently, accurate long read assemblers are computationally expensive, whereas faster methods are not as accurate. Moreover, despite recent advances in third-generation sequencing, researchers still tend to generate accurate short reads for many of the analysis tasks. Here, we present HASLR, a hybrid assembler that uses error-prone long reads together with high-quality short reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number of misassemblies on most of the samples, while being on par with other assemblers in terms of contiguity and accuracy.

Indexed as

BioinformaticsGenomicsSequence Analysis

Identifiers

PMID32781410
PMCPMC7419660
OpenAlexW3045408080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.