Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
Holly McCannNASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.ORCID 0000-0003-3308-0329
Caeden D MeadeNASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.ORCID 0000-0002-1800-5649
Loren Dean WilliamsNASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.ORCID 0000-0002-7215-4194
Anton S PetrovNASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.ORCID 0000-0003-3359-7299
Philip Z JohnsonDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0002-6689-8306
Anne E SimonDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0001-6121-0704
David HokszaDepartment of Software Engineering, Charles University, Prague, 118 00, Czech Republic.ORCID 0000-0003-4679-0557
Eric P NawrockiNational Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA.ORCID 0000-0002-2497-3427
Patricia P ChanDepartment of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA.ORCID 0000-0003-0810-1642
Todd M LoweDepartment of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA.ORCID 0000-0003-3253-6021
Carlos Eduardo RibasEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0002-9572-273X
Blake A SweeneyEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0002-6497-2883
Fábio MadeiraEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0001-8728-9449
Stephen AnyangoEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0003-4838-443X
Sri Devan AppasamyEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0001-6609-3535
Mandar DeshpandeEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0002-9043-7665
Mihaly VaradiEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0002-3687-0839
Sameer VelankarEuropean Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.ORCID 0000-0002-8439-5964
Craig L ZirbelDepartment of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA.ORCID 0000-0002-3281-918X
RNA secondary (2D) structure visualisation is an essential tool for understanding RNA function. R2DT is a software package designed to visualise RNA 2D structures in consistent, recognisable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms (SNPs) or SHAPE reactivities. It also offers a new template-free mode allowing visualisation of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualisations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualisation, accessible at https://r2dt.bio.
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.
R2DT: A COMPREHENSIVE PLATFORM FOR VISUALISING RNA SECONDARY STRUCTURE. · full record | OpenQuestion