Evidence map›Paper›PMID 31337332›Full record

ArticleBMC bioinformatics2019

Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection.

Jungmin Ha, Ho Hwi Jeon, Dong U Woo, Yejin Lee, Halim Park, Joohyeong Lee, Yang Jae Kang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. 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. 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.

Jungmin HaDepartment of Plant Science and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Ho Hwi JeonDivision of Applied Life Science Department at Gyeongsang National University, PMBBRC, Jinju, Republic of Korea.
Dong U WooDivision of Applied Life Science Department at Gyeongsang National University, PMBBRC, Jinju, Republic of Korea.
Yejin LeeDivision of Life Science Department at Gyeongsang National University, Jinju, Republic of Korea.
Halim ParkDivision of Life Science Department at Gyeongsang National University, Jinju, Republic of Korea.
Joohyeong LeeCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Gyeongsang National University, Jinju, South Korea.
Yang Jae KangDivision of Applied Life Science Department at Gyeongsang National University, PMBBRC, Jinju, Republic of Korea. kangyangjae@gnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of next generation sequencer (NGS) and the analytical methods allowed the researchers to profile their samples more precisely and easier than before. Especially for agriculture, the certification of the genomic background of their plant materials would be important for the reliability of seed market and stable yield as well as for quarantine procedure. However, the analysis of NGS data is still difficult for non-computational researchers or breeders to verify their samples because majority of current softwares for NGS analysis require users to access unfamiliar Linux environment. MAIN BODY: Here, we developed a web-application, "Soybean-VCF2Genomes", http://pgl.gnu.ac.kr/soy_vcf2genome/ to map single sample variant call format (VCF) file against known soybean germplasm collection for identification of the closest soybean accession. Based on principal component analysis (PCA), we simplified genotype matrix for lowering computational burden while maintaining accurate clustering. With our web-application, users can simply upload single sample VCF file created by more than 10x resequencing strategy to find the closest samples along with linkage dendrogram of the reference genotype matrix.

conclusionThe information of the closest soybean cultivar will allow breeders to estimate relative germplasmic position of their query sample to determine soybean breeding strategies. Moreover, our VCF2Genomes scheme can be extended to other plant species where the whole genome sequences of core collection are publicly available.

Indexed as

Genome, PlantUser-Computer InterfaceCluster AnalysisDatabases, FactualGenotypeGlycine maxHigh-Throughput Nucleotide SequencingMachine LearningPhenotypePhylogenyPrincipal Component AnalysisSeedsGenome-based breedingGermplasm identificationMachine learningNext generation sequencingSoybean

Identifiers

PMID31337332
PMCPMC6652137

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.