ArticleBioinformatics (Oxford, England)2023
ReCo: automated NGS read-counting of single and combinatorial CRISPR gRNAs.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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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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.
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Who cites it
4 citing papers in PubMed.
- The hidden role of rhizospheric viruses in promoting nitrogen fixation in soils.Nature communications · 2026Article
- Multi-scale classification decodes the complexity of the human E3 ligome.Nature communications · 2025Article
- Applications of Genome-wide Screening of CRISPR/Cas9 Knockout Library in Identifying Novel Molecular Targets for Xenobiotics.Environment & health (Washington, D.C.) · 2025Review
- Construction of AMPK-related circRNA network in mouse myocardial ischemia-reperfusion injury model.BMC cardiovascular disorders · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryCRISPR screens are increasingly performed to associate genotypes with genotypes. So far, however, their analysis required specialized computational knowledge to transform high-throughput next-generation sequencing (NGS) data into sequence formats amenable for downstream analysis. We developed ReCo, a stand-alone and user-friendly analytics tool for generating read-count tables of single and combinatorial CRISPR library and screen-based NGS data. Together with cutadapt and bowtie2 for rapid sequence trimming and alignment, ReCo enables the automated generation of read count tables from staggered NGS reads for the downstream identification of gRNA-induced phenotypes. AVAILABILITY AND IMPLEMENTATION: ReCo is published under the MIT license and available at: https://github.com/KaulichLab/ReCo.
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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.