Evidence map›Paper›PMID 37406192›Full record

ArticleBriefings in bioinformatics2023

From contigs towards chromosomes: automatic improvement of long read assemblies (ILRA).

José Luis Ruiz, Susanne Reimering, Juan David Escobar-Prieto, Nicolas M B Brancucci, Diego F Echeverry, Abdirahman I Abdi, Matthias Marti, Elena Gómez-Díaz, Thomas D Otto

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 6 institutions in 6 countries.

José Luis RuizInstituto de Parasitología y Biomedicina López-Neyra (IPBLN), Consejo Superior de Investigaciones Científicas, 18016, Granada, Spain.ORCID 0000-0003-1901-1888
Susanne ReimeringDepartment for Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Juan David Escobar-PrietoCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia.
Nicolas M B BrancucciSchool of Infection & Immunity, MVLS, University of Glasgow, Glasgow, UK.
Diego F EcheverryCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia.ORCID 0000-0003-0301-4478
Abdirahman I AbdiKEMRI-Wellcome Trust Research Programme, CGMRC, Kilifi, Kenya.ORCID 0000-0001-7989-2125
Matthias MartiSchool of Infection & Immunity, MVLS, University of Glasgow, Glasgow, UK.ORCID 0000-0003-1040-9566
Elena Gómez-DíazInstituto de Parasitología y Biomedicina López-Neyra (IPBLN), Consejo Superior de Investigaciones Científicas, 18016, Granada, Spain.ORCID 0000-0002-4146-9003
Thomas D OttoSchool of Infection & Immunity, MVLS, University of Glasgow, Glasgow, UK.ORCID 0000-0002-1246-7404
Centro Internacional de Entrenamiento e Investigaciones Medicas · COConsejo Superior de Investigaciones Científicas · ESUniversity of Glasgow · GBHelmholtz Centre for Infection Research · DEKenya Medical Research Institute · KESwiss Tropical and Public Health Institute · CH

Funding

Wellcome Trust 098051Wellcome Trust 104111/Z/14/ZR
6 · The paper itself

Abstract

Recent advances in long read technologies not only enable large consortia to aim to sequence all eukaryotes on Earth, but they also allow individual laboratories to sequence their species of interest with relatively low investment. Long read technologies embody the promise of overcoming scaffolding problems associated with repeats and low complexity sequences, but the number of contigs often far exceeds the number of chromosomes and they may contain many insertion and deletion errors around homopolymer tracts. To overcome these issues, we have implemented the ILRA pipeline to correct long read-based assemblies. Contigs are first reordered, renamed, merged, circularized, or filtered if erroneous or contaminated. Illumina short reads are used subsequently to correct homopolymer errors. We successfully tested our approach by improving the genome sequences of Homo sapiens, Trypanosoma brucei, and Leptosphaeria spp., and by generating four novel Plasmodium falciparum assemblies from field samples. We found that correcting homopolymer tracts reduced the number of genes incorrectly annotated as pseudogenes, but an iterative approach seems to be required to correct more sequencing errors. In summary, we describe and benchmark the performance of our new tool, which improved the quality of novel long read assemblies up to 1 Gbp. The pipeline is available at GitHub: https://github.com/ThomasDOtto/ILRA.

Indexed as

GenomeHigh-Throughput Nucleotide SequencingChromosomesHumansPseudogenesSequence Analysis, DNAautomatic finishingbioinformaticsde novo assemblygenome polishingnext-generation sequencingpipeline

Identifiers

PMID37406192
PMCPMC10359078
OpenAlexW4383199176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.