Evidence map›Paper›PMID 36899307›Full record

ArticleBMC genomics2023

The Allele Catalog Tool: a web-based interactive tool for allele discovery and analysis.

Yen On Chan, Nicholas Dietz, Shuai Zeng, Juexin Wang, Sherry Flint-Garcia, M Nancy Salazar-Vidal, Mária Škrabišová, Kristin Bilyeu, Trupti Joshi

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Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Factors underlying a latitudinal gradient in the S/G lignin monomer ratio in natural poplar variants.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Allele-tagged TaqManMolecular biology reports · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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

9 authors.

Yen On ChanMU Institute for Data Science and Informatics, University of Missouri-Columbia, Columbia, MO, USA.
Nicholas DietzDivision of Plant Science and Technology, University of Missouri-Columbia, Columbia, MO, USA.
Shuai ZengDepartment of Electrical Engineering and Computer Science, University of Missouri-Columbia, Columbia, MO, USA.
Juexin WangChristopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO, USA.
Sherry Flint-GarciaUnited States Department of Agriculture-Agricultural Research Service, Plant Genetics Research Unit, Columbia, MO, USA.
M Nancy Salazar-VidalDivision of Plant Science and Technology, University of Missouri-Columbia, Columbia, MO, USA.
Mária ŠkrabišováDepartment of Biochemistry, Faculty of Science, Palacky University in Olomouc, Olomouc, Czech Republic.
Kristin BilyeuUnited States Department of Agriculture-Agricultural Research Service, Plant Genetics Research Unit, Columbia, MO, USA. kristin.bilyeu@usda.gov.
Trupti JoshiMU Institute for Data Science and Informatics, University of Missouri-Columbia, Columbia, MO, USA. Joshitr@missouri.edu.ORCID http://orcid.org/0000-0001-8944-4924

Funding

United Soybean Board 1920-152-0131-CUnited Soybean Board 2220-152-0202
6 · The paper itself

Abstract

backgroundThe advancement of sequencing technologies today has made a plethora of whole-genome re-sequenced (WGRS) data publicly available. However, research utilizing the WGRS data without further configuration is nearly impossible. To solve this problem, our research group has developed an interactive Allele Catalog Tool to enable researchers to explore the coding region allelic variation present in over 1,000 re-sequenced accessions each for soybean, Arabidopsis, and maize.

resultsThe Allele Catalog Tool was designed originally with soybean genomic data and resources. The Allele Catalog datasets were generated using our variant calling pipeline (SnakyVC) and the Allele Catalog pipeline (AlleleCatalog). The variant calling pipeline is developed to parallelly process raw sequencing reads to generate the Variant Call Format (VCF) files, and the Allele Catalog pipeline takes VCF files to perform imputations, functional effect predictions, and assemble alleles for each gene to generate curated Allele Catalog datasets. Both pipelines were utilized to generate the data panels (VCF files and Allele Catalog files) in which the accessions of the WGRS datasets were collected from various sources, currently representing over 1,000 diverse accessions for soybean, Arabidopsis, and maize individually. The main features of the Allele Catalog Tool include data query, visualization of results, categorical filtering, and download functions. Queries are performed from user input, and results are a tabular format of summary results by categorical description and genotype results of the alleles for each gene. The categorical information is specific to each species; additionally, available detailed meta-information is provided in modal popups. The genotypic information contains the variant positions, reference or alternate genotypes, the functional effect classes, and the amino-acid changes of each accession. Besides that, the results can also be downloaded for other research purposes.

conclusionsThe Allele Catalog Tool is a web-based tool that currently supports three species: soybean, Arabidopsis, and maize. The Soybean Allele Catalog Tool is hosted on the SoyKB website ( https://soykb.org/SoybeanAlleleCatalogTool/ ), while the Allele Catalog Tool for Arabidopsis and maize is hosted on the KBCommons website ( https://kbcommons.org/system/tools/AlleleCatalogTool/Zmays and https://kbcommons.org/system/tools/AlleleCatalogTool/Athaliana ). Researchers can use this tool to connect variant alleles of genes with meta-information of species.

Indexed as

AllelesArabidopsisData MiningDatasets as TopicGlycine maxInternetSoftwareZea maysAmino Acid SubstitutionArabidopsis ProteinsData VisualizationGene FrequencyGenes, PlantGenotypeMetadataMutationArabidopsis ProteinsDOG1 protein, ArabidopsisAllele Catalog PipelineAllele Catalog ToolAlleles in GeneData VisualizationVariant Calling Pipeline

Identifiers

PMID36899307
PMCPMC10007842

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LicenceCC BY
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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.