Evidence map›Paper›PMID 37798248›Full record

ArticleBriefings in bioinformatics2023

A practical assembly guideline for genomes with various levels of heterozygosity.

Takako Mochizuki, Mika Sakamoto, Yasuhiro Tanizawa, Takuro Nakayama, Goro Tanifuji, Ryoma Kamikawa, Yasukazu Nakamura

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  9. A Whole-Genome Survey and the Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2024
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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

7 authors at 4 institutions in 1 country.

Takako MochizukiGenome Informatics Laboratory, National Institute of Genetics.
Mika SakamotoGenome Informatics Laboratory, National Institute of Genetics.
Yasuhiro TanizawaGenome Informatics Laboratory, National Institute of Genetics.
Takuro NakayamaDivision of Life Sciences Center for Computational Sciences, University of Tsukuba, Japan.
Goro TanifujiDepartment of Zoology, National Museum of Nature and Science.
Ryoma KamikawaGraduate School of Agriculture, Kyoto University.
Yasukazu NakamuraGenome Informatics Laboratory, National Institute of Genetics.
National Institute of Genetics · JPKyoto University · JPNational Museum of Nature and Science · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although current long-read sequencing technologies have a long-read length that facilitates assembly for genome reconstruction, they have high sequence errors. While various assemblers with different perspectives have been developed, no systematic evaluation of assemblers with long reads for diploid genomes with varying heterozygosity has been performed. Here, we evaluated a series of processes, including the estimation of genome characteristics such as genome size and heterozygosity, de novo assembly, polishing, and removal of allelic contigs, using six genomes with various heterozygosity levels. We evaluated five long-read-only assemblers (Canu, Flye, miniasm, NextDenovo and Redbean) and five hybrid assemblers that combine short and long reads (HASLR, MaSuRCA, Platanus-allee, SPAdes and WENGAN) and proposed a concrete guideline for the construction of haplotype representation according to the degree of heterozygosity, followed by polishing and purging haplotigs, using stable and high-performance assemblers: Redbean, Flye and MaSuRCA.

Indexed as

High-Throughput Nucleotide SequencingAllelesGuidelines as TopicHaplotypesHeterozygoteSequence Analysis, DNAassembly evaluationde novo assemblygenome sequencingheterozygositylong-read sequencingpurging allelic sequences

Identifiers

PMID37798248
PMCPMC10555665
OpenAlexW4387381518

What OpenQuestion holds

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LicenceCC BY
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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.