Evidence map›Paper›PMID 30367597›Full record

ArticleBMC bioinformatics2018

Tigmint: correcting assembly errors using linked reads from large molecules.

Shaun D Jackman, Lauren Coombe, Justin Chu, Rene L Warren, Benjamin P Vandervalk, Sarah Yeo, Zhuyi Xue, Hamid Mohamadi, Joerg Bohlmann, Steven J M Jones and 1 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Article
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  7. Life inside a bag: multiomics insights into the bagworm species Eumeta crameri.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
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  12. A high-quality genome assembly of Annona squamosa (custard apple) provides functional insights into an emerging fruit crop.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
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  15. Article
  16. Article
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17 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

11 authors.

Shaun D JackmanBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada. sjackman@bcgsc.ca.ORCID http://orcid.org/0000-0002-9275-5966
Lauren CoombeBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Justin ChuBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Rene L WarrenBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Benjamin P VandervalkBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Sarah YeoBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Zhuyi XueBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Hamid MohamadiBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Joerg BohlmannUniversity of British Columbia, Michael Smith Laboratories, Vancouver, V6T 1Z4, BC, Canada.
Steven J M JonesBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.
Inanc BirolBC Cancer Genome Sciences Centre, Vancouver, V5Z 4S6, BC, Canada.

Funding

De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)R01HG007182 · NHGRI · PROVINCIAL HEALTH SERVICES AUTHORITY · PI BIROL, INANC · 2014 to 2022
$1.9M
NHGRI NIH HHS R01 HG007182
6 · The paper itself

Abstract

backgroundGenome sequencing yields the sequence of many short snippets of DNA (reads) from a genome. Genome assembly attempts to reconstruct the original genome from which these reads were derived. This task is difficult due to gaps and errors in the sequencing data, repetitive sequence in the underlying genome, and heterozygosity. As a result, assembly errors are common. In the absence of a reference genome, these misassemblies may be identified by comparing the sequencing data to the assembly and looking for discrepancies between the two. Once identified, these misassemblies may be corrected, improving the quality of the assembled sequence. Although tools exist to identify and correct misassemblies using Illumina paired-end and mate-pair sequencing, no such tool yet exists that makes use of the long distance information of the large molecules provided by linked reads, such as those offered by the 10x Genomics Chromium platform. We have developed the tool Tigmint to address this gap.

resultsTo demonstrate the effectiveness of Tigmint, we applied it to assemblies of a human genome using short reads assembled with ABySS 2.0 and other assemblers. Tigmint reduced the number of misassemblies identified by QUAST in the ABySS assembly by 216 (27%). While scaffolding with ARCS alone more than doubled the scaffold NGA50 of the assembly from 3 to 8 Mbp, the combination of Tigmint and ARCS improved the scaffold NGA50 of the assembly over five-fold to 16.4 Mbp. This notable improvement in contiguity highlights the utility of assembly correction in refining assemblies. We demonstrate the utility of Tigmint in correcting the assemblies of multiple tools, as well as in using Chromium reads to correct and scaffold assemblies of long single-molecule sequencing.

conclusionsScaffolding an assembly that has been corrected with Tigmint yields a final assembly that is both more correct and substantially more contiguous than an assembly that has not been corrected. Using single-molecule sequencing in combination with linked reads enables a genome sequence assembly that achieves both a high sequence contiguity as well as high scaffold contiguity, a feat not currently achievable with either technology alone.

Indexed as

SoftwareChromosomes, HumanGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansNanoporesRepetitive Sequences, Nucleic Acid10x Genomics ChromiumAssembly correctionGenome scaffoldingGenome sequence assemblyLinked reads

Identifiers

PMID30367597
PMCPMC6204047

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.