- MeSH
- Anthropology methods MeSH
- Databases, Nucleic Acid MeSH
- Genome, Human genetics MeSH
- Humans MeSH
- Metadata MeSH
- DNA, Mitochondrial analysis genetics MeSH
- DNA, Ancient * analysis isolation & purification MeSH
- Human Development MeSH
- Check Tag
- Humans MeSH
- Publication type
- Review MeSH
BACKGROUND: The 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. RESULTS: The 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. CONCLUSIONS: The 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.
- MeSH
- Alleles * MeSH
- Arabidopsis * genetics MeSH
- Data Mining * methods MeSH
- Datasets as Topic * MeSH
- Gene Frequency MeSH
- Genotype MeSH
- Glycine max * genetics MeSH
- Internet * MeSH
- Zea mays * genetics MeSH
- Metadata MeSH
- Mutation MeSH
- Pigmentation genetics MeSH
- Genes, Plant genetics MeSH
- Software * MeSH
- Amino Acid Substitution MeSH
- Plant Dormancy genetics MeSH
- Data Visualization MeSH
- Publication type
- Journal Article MeSH
Bibliometrické údaje jsou základem nejen pro měření vědeckého výstupu, ale i pro softwarové nástroje, které pomáhají vědcům orientovat se ve stále rychleji rostoucí záplavě článků. Tyto nástroje pracují různými způsoby s metadaty bibliografických záznamů v databázích odborných publikací. Příspěvek představuje dva z těcchto nástrojů – VOSviewer a Connected Papers.
Bibliometric data are the basis not only for measuring scientific output, but also for software tools that help scientists navigate the ever-increasing flood of articles. These tools work in different ways with the metadata of bibliographic records in databases of scientific publications. This paper introduces two of these tools, VOSviewer and Connected Papers.
- Keywords
- VOSviewer, Connected Papers,
- MeSH
- Bibliometrics * MeSH
- Humans MeSH
- Metadata MeSH
- Software * MeSH
- Data Visualization MeSH
- Research Design MeSH
- Check Tag
- Humans MeSH
- Publication type
- News MeSH
SUMMARY: ShinySOM offers a user-friendly interface for reproducible, high-throughput analysis of high-dimensional flow and mass cytometry data guided by self-organizing maps. The software implements a FlowSOM-style workflow, with improvements in performance, visualizations and data dissection possibilities. The outputs of the analysis include precise statistical information about the dissected samples, and R-compatible metadata useful for the batch processing of large sample volumes. AVAILABILITY AND IMPLEMENTATION: ShinySOM is free and open-source, available online at gitlab.com/exaexa/ShinySOM. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
- MeSH
- Algorithms * MeSH
- Metadata MeSH
- Workflow MeSH
- Software * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH