Evidence map›Paper›PMID 32245072›Full record

ArticleGenes2020

A Comparison between Hi-C and 10X Genomics Linked Read Sequencing for Whole Genome Phasing in Hanwoo Cattle.

Krishnamoorthy Srikanth, Jong-Eun Park, Dajeong Lim, Jihye Cha, Sang-Rae Cho, In-Cheol Cho, Woncheoul Park

Abstract readComparative Study
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
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.

Krishnamoorthy SrikanthAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID 0000-0002-5205-193X
Jong-Eun ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID 0000-0003-0718-3463
Dajeong LimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID 0000-0003-3966-9150
Jihye ChaAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Sang-Rae ChoHanwoo Research Institute, National Institute of Animal Science, RDA, Pyeongchang 25340, Korea.
In-Cheol ChoSubtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju 63242, Korea.
Woncheoul ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, genome-scale phasing was limited due to the short read sizes of sequence data. Though the use of long-read sequencing can overcome this limitation, they require extensive error correction. The emergence of technologies such as 10X genomics linked read sequencing and Hi-C which uses short-read sequencers along with library preparation protocols that facilitates long-read assemblies have greatly reduced the complexities of genome scale phasing. Moreover, it is possible to accurately assemble phased genome of individual samples using these methods. Therefore, in this study, we compared three phasing strategies which included two sample preparation methods along with the Long Ranger pipeline of 10X genomics and HapCut2 software, namely 10X-LG, 10X-HapCut2, and HiC-HapCut2 and assessed their performance and accuracy. We found that the 10X-LG had the best phasing performance amongst the method analyzed. They had the highest phasing rate (89.6%), longest adjusted N50 (1.24 Mb), and lowest switch error rate (0.07%). Moreover, the phasing accuracy and yield of the 10X-LG stayed over 90% for distances up to 4 Mb and 550 Kb respectively, which were considerably higher than 10X-HapCut2 and Hi-C Hapcut2. The results of this study will serve as a good reference for future benchmarking studies and also for reference-based imputation in Hanwoo.

Indexed as

AnimalsCattleGenomicsPolymorphism, Single NucleotideReproducibility of ResultsSoftwareWhole Genome Sequencing10X genomicsgenomeHanwoohaplotypesHi-CPhasingSNPs

Identifiers

PMID32245072
PMCPMC7140831

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.