ArticleBioinformatics (Oxford, England)2020
LogoJS: a Javascript package for creating sequence logos and embedding them in web applications.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- groovDB in 2026: a community-editable database of small molecule biosensors.Nucleic acids research · 2026Article
- EzSEA: an interactive web interface for enzyme sequence evolution analysis.Bioinformatics advances · 2025Article
- SLiMAn 2.0: meaningful navigation through peptide-protein interaction networks.Nucleic acids research · 2024Article
- CURTAIN-A unique web-based tool for exploration and sharing of MS-based proteomics data.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Snowprint: a predictive tool for genetic biosensor discovery.Communications biology · 2024Article
- Detection and Analysis of Short Linear Motif-Based Protein-Protein Interactions with SLiMAn2 Web Server.Methods in molecular biology (Clifton, N.J.) · 2024Article
- plotnineSeqSuite: a Python package for visualizing sequence data using ggplot2 style.BMC genomics · 2023Article
- Identification of a CJournal of fungi (Basel, Switzerland) · 2022Article
- dagLogo: An R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
summarySequence logos were introduced nearly 30 years ago as a human-readable format for representing consensus sequences, and they remain widely used. As new experimental and computational techniques have developed, logos have been extended: extra symbols represent covalent modifications to nucleotides, logos with multiple letters at each position illustrate models with multi-nucleotide features and symbols extending below the x-axis may represent a binding energy penalty for a residue or a negative weight output from a neural network. Web-based visualization tools for genomic data are increasingly taking advantage of modern web technology to offer dynamic, interactive figures to users, but support for sequence logos remains limited. Here, we present LogoJS, a Javascript package for rendering customizable, interactive, vector-graphic sequence logos and embedding them in web applications. LogoJS supports all the aforementioned logo extensions and is bundled with a companion web application for creating and sharing logos. AVAILABILITY AND IMPLEMENTATION: LogoJS is implemented both in plain Javascript and ReactJS, a popular user-interface framework. The web application is hosted at logojs.wenglab.org. All major browsers and operating systems are supported. The package and application are open-source; code is available at GitHub. CONTACT: zhiping.weng@umassmed.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.