Evidence map›Paper›PMID 37452278›Full record

ArticleBMC bioinformatics2023

MTG-Link: leveraging barcode information from linked-reads to assemble specific loci.

Anne Guichard, Fabrice Legeai, Denis Tagu, Claire Lemaitre

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Anne GuichardIGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France. anne.guichard@irisa.fr.ORCID http://orcid.org/0000-0002-5438-739X
Fabrice LegeaiIGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France.
Denis TaguIGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France.
Claire LemaitreUniv Rennes, Inria, CNRS, IRISA, 35000, Rennes, France. claire.lemaitre@inria.fr.
Centre National de la Recherche Scientifique · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FR

Funding

French ANR ANR-18-CE02-0019H2020 Marie Skłodowska-Curie Actions 764840
6 · The paper itself

Abstract

backgroundLocal assembly with short and long reads has proven to be very useful in many applications: reconstruction of the sequence of a locus of interest, gap-filling in draft assemblies, as well as alternative allele reconstruction of large Structural Variants. Whereas linked-read technologies have a great potential to assemble specific loci as they provide long-range information while maintaining the power and accuracy of short-read sequencing, there is a lack of local assembly tools for linked-read data.

resultsWe present MTG-Link, a novel local assembly tool dedicated to linked-reads. The originality of the method lies in its read subsampling step which takes advantage of the barcode information contained in linked-reads mapped in flanking regions. We validated our approach on several datasets from different linked-read technologies. We show that MTG-Link is able to assemble successfully large sequences, up to dozens of Kb. We also demonstrate that the read subsampling step of MTG-Link considerably improves the local assembly of specific loci compared to other existing short-read local assembly tools. Furthermore, MTG-Link was able to fully characterize large insertion variants and deletion breakpoints in a human genome and to reconstruct dark regions in clinically-relevant human genes. It also improved the contiguity of a 1.3 Mb locus of biological interest in several individual genomes of the mimetic butterfly Heliconius numata.

conclusionsMTG-Link is an efficient local assembly tool designed for different linked-read sequencing technologies. MTG-Link source code is available at https://github.com/anne-gcd/MTG-Link and as a Bioconda package.

Indexed as

High-Throughput Nucleotide SequencingSoftwareGenome, HumanHumansSequence Analysis, DNABarcodeGap-fillingLinked-readsLocal assembly

Identifiers

PMID37452278
PMCPMC10347852
OpenAlexW4384301052

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.