ArticleBioinformatics advances2025
CRIBAR: a fast and flexible sgRNA design tool for CRISPR imaging.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
Funding
Abstract
Motivation: CRISPR imaging enables the real-time tracking of nucleic acids. Using guide RNAs (gRNAs) to direct fluorescent tags to target regions allows for precise nucleic acid monitoring via microscopy. The design of gRNAs largely affects the efficacy of CRISPR imaging. Currently, available gRNA design tools are developed primarily for gene editing, often producing individual gRNAs that target genes or regulatory elements. Results: In this study, we introduce CRIBAR, a computational tool developed to systematically design single-guide RNAs (sgRNAs) for CRISPR imaging applications. CRIBAR first generates sgRNA sets optimized to maximize the number of on-target binding sites and then evaluates the potential off-target effect. The results of the Availability and implementation: CRIBAR is available as a software package at https://github.com/ucfcbb/CRIBAR and as a web server at http://genome.ucf.edu/CRIBAR.
Identifiers
What Socratic 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 Socratic graph.