100 visualizations from a single dataset with 6 data points

The structure of a dataset can help you pick a visualization method or chart type, but it only takes you part of the way there. To demonstrate, Ferdio started with a simple dataset with six data points and made 100 charts with it:

Every time we turn a set of data into a visual depiction, hundreds of design choices have to be made to make the data tell the best story possible. Many of the choices are unconscious, often resulting in similar solutions. The obvious and uninspired. This project goes beyond common solutions and best practice. It demonstrates how even the simplest dataset can be turned into 100 proper data visualizations telling different stories, using very limited visual properties and assets.

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New ClinVar graphical display

Maps clinically significant variants by gene and position! ClinVar is a freely accessible, public archive of reports of the relationships between human variations and phenotypes, with supporting evidence at NLM/NCBI. To help you access your variants of interest quickly, ClinVar is introducing an all-new visualization tool in the search results. This graphical display provides an … Continue reading New ClinVar graphical display

Nov 3 Webinar: dbGaP submission improvements and GaPTools

Attention dbGaP submitters! Join us on November 3, 2021 at 12PM US eastern time to learn about data submission and processing improvements to dbGaP, NIH’s database of Genotype and Phenotype, which contains individual-level data associated with human research studies. You will see how we have made submission easier through the Submission Portal using automated preliminary … Continue reading Nov 3 Webinar: dbGaP submission improvements and GaPTools

✚ Seeing Ranges – The Process 152

Welcome to issue #152 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I was thinking about visualizing ranges instead of just summary statistics like mean and median.

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Non-human variation data from EVA now available in the Genome Data Viewer

You can now view SNP variation data for many commonly studied animals and plants – including mouse, cow, Drosophila, Arabidopsis, maize, cabbage, and many more – in the Genome Data Viewer (GDV) and other graphical sequence viewers. This data is … Continue reading

dbVar clinical and common structural variants track hub now available

dbVar, NCBI’s database of large-scale genetic variants, has a new track hub for viewing and downloading structural variation (SV) data in popular genome browsers. Initial tracks include Clinical and Common SV datasets. dbVar’s new track hub can be viewed using … Continue reading

April 22 Webinar on NCBI’s ALFA: allele frequency data for variant analysis and interpretation

On Wednesday, April 22, 2020 at 12 PM,  join NCBI staff to learn how results from the Allele Frequency Aggregator (ALFA) project will help you interpret the biological impact of common and rare sequence variants. ALFA’s initial release includes analysis … Continue reading

The ALFA dataset: New aggregated allele frequency from dbGaP and dbSNP now available

NIH’s data sharing policy now allows unrestricted access to genomic summary results for data from NCBI’s Database of Genotypes and Phenotypes (dbGaP).  Pooled allele frequency data from dbSNP and the dbGaP summary results are available as the new Allele Frequency Aggregator … Continue reading

New in ClinVar – notifications for changes in the clinical interpretation of variants

We have added a new feature to ClinVar that allows you to follow a particular variant and be notified if the overall clinical interpretation in ClinVar changes, for example from a pathogenic category to a non-pathogenic one.  This service will … Continue reading

View BAM alignments in the NCBI genome browsers and sequence viewers sorted by haplotype tag

NCBI’s genome browsers and graphical sequence viewers now allow you to view BAM alignments sorted by haplotype tag. This option is useful for analyzing variants within a sequenced sample and can help you detect or validate structural variants.Figure 1. Remote … Continue reading