Evidence map›Paper›PMID 33127969›Full record

ArticleScientific reports2020

Improving read alignment through the generation of alternative reference via iterative strategy.

Lina Bu, Qi Wang, Wenjin Gu, Ruifei Yang, Di Zhu, Zhuo Song, Xiaojun Liu, Yiqiang Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  3. Genomic Insights into the Origin, High Fecundity and Environmental Adaptation of Hu Sheep.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Lina BuState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Qi WangState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Wenjin GuState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Ruifei YangState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Di ZhuState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Zhuo SongGenetalks Biotech. Co., Ltd, Changsha, 410000, Hunan, China.
Xiaojun LiuCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450000, Henan, China.
Yiqiang ZhaoState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China. yiqiangz@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is generally one standard reference sequence for each species. When extensive variations exist in other breeds of the species, it can lead to ambiguous alignment and inaccurate variant calling and, in turn, compromise the accuracy of downstream analysis. Here, with the help of the FPGA hardware platform, we present a method that generates an alternative reference via an iterative strategy to improve the read alignment for breeds that are genetically distant to the reference breed. Compared to the published reference genomes, by using the alternative reference sequences we built, the mapping rates of Chinese indigenous pigs and chickens were improved by 0.61-1.68% and 0.09-0.45%, respectively. These sequences also enable researchers to recover highly variable regions that could be missed using public reference sequences. We also determined that the optimal number of iterations needed to generate alternative reference sequences were seven and five for pigs and chickens, respectively. Our results show that, for genetically distant breeds, generating an alternative reference sequence can facilitate read alignment and variant calling and improve the accuracy of downstream analyses.

Indexed as

AlgorithmsAnimalsChickensComputational BiologyGenetic VariationGenomeGenotypePolymorphism, Single NucleotideSequence AlignmentSequence Analysis, DNASoftwareSpecies SpecificitySwine

Identifiers

PMID33127969
PMCPMC7599232

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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.