Evidence map›Paper›PMID 36813568›Full record

ArticleLife science alliance2023

New algorithms for accurate and efficient de novo genome assembly from long DNA sequencing reads.

Laura Gonzalez-Garcia, David Guevara-Barrientos, Daniela Lozano-Arce, Juanita Gil, Jorge Díaz-Riaño, Erick Duarte, Germán Andrade, Juan Camilo Bojacá, Maria Camila Hoyos-Sanchez, Christian Chavarro and 6 more

Abstract read
In one paragraph

Article in Life science alliance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Current Progress in Phased Genome Assembly from Long-Read DNA Sequencing Data.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  8. Article
  9. 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

16 authors.

Laura Gonzalez-GarciaSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
David Guevara-BarrientosSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Daniela Lozano-ArceSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Juanita GilDepartment of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR, USA.
Jorge Díaz-RiañoSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Erick DuarteSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Germán AndradeSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Juan Camilo BojacáSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Maria Camila Hoyos-SanchezSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Christian ChavarroSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Natalia GuayazanDepartment of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.
Luis Alberto ChicaResearch Group on Computational Biology and Microbial Ecology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.
Maria Camila Buitrago AcostaSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Edwin BautistaSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Miller TrujilloSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Jorge DuitamaSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia ja.duitama@uniandes.edu.co.ORCID https://orcid.org/0000-0002-9105-6266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Building de novo genome assemblies for complex genomes is possible thanks to long-read DNA sequencing technologies. However, maximizing the quality of assemblies based on long reads is a challenging task that requires the development of specialized data analysis techniques. We present new algorithms for assembling long DNA sequencing reads from haploid and diploid organisms. The assembly algorithm builds an undirected graph with two vertices for each read based on minimizers selected by a hash function derived from the k-mer distribution. Statistics collected during the graph construction are used as features to build layout paths by selecting edges, ranked by a likelihood function. For diploid samples, we integrated a reimplementation of the ReFHap algorithm to perform molecular phasing. We ran the implemented algorithms on PacBio HiFi and Nanopore sequencing data taken from haploid and diploid samples of different species. Our algorithms showed competitive accuracy and computational efficiency, compared with other currently used software. We expect that this new development will be useful for researchers building genome assemblies for different species.

Indexed as

AlgorithmsHigh-Throughput Nucleotide SequencingGenomeSequence Analysis, DNASoftware

Identifiers

PMID36813568
PMCPMC9946810

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.