
With the explosion in our understanding of human and environmental microbial diversity, corresponding efforts to understand gene function in these organisms are strongly needed. CRISPR/Cas9 technology has revolutionized interrogation of gene function in a wide variety of model organisms. Efficient CRISPR guide design is required for systematic gene targeting. However, existing tools are not adapted for the broad needs of microbial targeting, which include extraordinary species and subspecies genetic diversity, the overwhelming majority of which is characterized by draft genomes. In addition, flexibility in guide design parameters is important to consider the wide range of factors that can affect guide efficacy, many of which can be species and strain specific. We designed GuideFinder, a customizable, user-friendly program that addresses the limitations of existing software and that can design guides for any annotated bacterial genome with numerous features that facilitate guide design in a wide variety of microorganisms.
Gene Editing, 570, JGM, genomewide knockdown, Resource Report, Life Sciences, microbiome, RNA, Guide, CRISPR-Cas Systems, Microbiology, QR1-502, CRISPR, CRISPR-Associated Protein 9, Medicine and Health Sciences, Programming Languages, CRISPR-Cas Systems, Cas9, Genome, Bacterial, Software
Gene Editing, 570, JGM, genomewide knockdown, Resource Report, Life Sciences, microbiome, RNA, Guide, CRISPR-Cas Systems, Microbiology, QR1-502, CRISPR, CRISPR-Associated Protein 9, Medicine and Health Sciences, Programming Languages, CRISPR-Cas Systems, Cas9, Genome, Bacterial, Software
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
