Evidence map›Paper›PMID 32657355›Full record

ArticleBioinformatics (Oxford, England)2020

TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats.

Alla Mikheenko, Andrey V Bzikadze, Alexey Gurevich, Karen H Miga, Pavel A Pevzner

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  5. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
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  7. Genome assembly in the telomere-to-telomere era.Nature reviews. Genetics · 2024
    Review
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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

5 authors at 3 institutions in 2 countries.

Alla MikheenkoCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia.
Andrey V BzikadzeGraduate Program in Bioinformatics and Systems Biology, University of California, San Diego, CA 92093, USA.
Alexey GurevichCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia.
Karen H MigaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Pavel A PevznerDepartment of Computer Science and Engineering, University of California, San Diego, CA 92093, USA.
St Petersburg University · RUUniversity of California, San Diego · USUniversity of California, Santa Cruz · US

Funding

ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
NHGRI NIH HHS U01 HG010971
6 · The paper itself

Abstract

motivationExtra-long tandem repeats (ETRs) are widespread in eukaryotic genomes and play an important role in fundamental cellular processes, such as chromosome segregation. Although emerging long-read technologies have enabled ETR assemblies, the accuracy of such assemblies is difficult to evaluate since there are no tools for their quality assessment. Moreover, since the mapping of error-prone reads to ETRs remains an open problem, it is not clear how to polish draft ETR assemblies.

resultsTo address these problems, we developed the TandemTools software that includes the TandemMapper tool for mapping reads to ETRs and the TandemQUAST tool for polishing ETR assemblies and their quality assessment. We demonstrate that TandemTools not only reveals errors in ETR assemblies but also improves the recently generated assemblies of human centromeres. AVAILABILITY AND IMPLEMENTATION: https://github.com/ablab/TandemTools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

High-Throughput Nucleotide SequencingSoftwareEukaryotaHumansSequence Analysis, DNATandem Repeat Sequences

Identifiers

PMID32657355
PMCPMC7355294
OpenAlexW3043322546

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.