ArticleBioinformatics advances2023
Nightingale: web components for protein feature visualization.
Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 7 citations in OpenAlex.
- 3DSeqCheck: A Web-based Tool for Verifying Sequence Consistency Between a 3D Structure File and the Corresponding UniProt Entry.Journal of molecular biology · 2026Article
- Using the Job Dispatcher Web Interfaces for Sequence Analysis.Current protocols · 2026Article
- GlyGen: a knowledgebase linking glycan data with protein and gene data to reveal novel biological connections.Research square · 2026Article
- Viral non-coding RNA structure annotation and API-based data retrieval with Rfam and R2DT.bioRxiv : the preprint server for biology · 2026Article
- InterPro: the protein sequence classification resource in 2025.Nucleic acids research · 2025Article
- jdispatcher-viewers: interactive visualizations of sequence similarity search results and domain predictions.Bioinformatics advances · 2025Article
- ngx-mol-viewers: Angular components for interactive molecular visualization in bioinformatics.Frontiers in bioinformatics · 2025Article
- DPAM-AI: a domain parser for AlphaFold models powered by artificial intelligence.Bioinformatics (Oxford, England) · 2024Article
- The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024.Nucleic acids research · 2024Article
- Exon nomenclature and classification of transcripts database (ENACTdb): a resource for analyzing alternative splicing mediated proteome diversity.Bioinformatics advances · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Motivation: The visualization of biological data is a fundamental technique that enables researchers to understand and explain biology. Some of these visualizations have become iconic, for instance: tree views for taxonomy, cartoon rendering of 3D protein structures or tracks to represent features in a gene or protein, for instance in a genome browser. Nightingale provides visualizations in the context of proteins and protein features. Results: Nightingale is a library of re-usable data visualization web components that are currently used by UniProt and InterPro, among other projects. The components can be used to display protein sequence features, variants, interaction data, 3D structure, etc. These components are flexible, allowing users to easily view multiple data sources within the same context, as well as compose these components to create a customized view. Availability and implementation: Nightingale examples and documentation are freely available at https://ebi-webcomponents.github.io/nightingale/. It is distributed under the MIT license, and its source code can be found at https://github.com/ebi-webcomponents/nightingale.
Identifiers
What OpenQuestion holds
Registered trials
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.