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David Bikard

Researcher at Pasteur Institute

Publications -  84
Citations -  8898

David Bikard is an academic researcher from Pasteur Institute. The author has contributed to research in topics: CRISPR & Gene. The author has an hindex of 29, co-authored 69 publications receiving 6974 citations. Previous affiliations of David Bikard include Massachusetts Institute of Technology & McGovern Institute for Brain Research.

Papers
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Journal ArticleDOI

RNA-guided editing of bacterial genomes using CRISPR-Cas systems

TL;DR: The exhaustively analyze dual-RNA:Cas9 target requirements to define the range of targetable sequences and show strategies for editing sites that do not meet these requirements, suggesting the versatility of this technique for bacterial genome engineering.
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Programmable repression and activation of bacterial gene expression using an engineered CRISPR-Cas system

TL;DR: A Cas9 nuclease mutant that retains DNA-binding activity and can be engineered as a programmable transcription repressor by preventing the binding of the RNA polymerase to promoter sequences or as a transcription terminator by blocking the running RNAP is described.
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Exploiting CRISPR-Cas nucleases to produce sequence-specific antimicrobials

TL;DR: It is shown that Cas9, reprogrammed to target virulence genes, kills virulent, but not avirulent, Staphylococcus aureus, and that CRISPR-Cas9 antimicrobials function in vivo to kill S. aUREus in a mouse skin colonization model.
Patent

CRISPR-Cas component systems, methods and compositions for sequence manipulation

TL;DR: In this paper, the authors provide a system, methods, and compositions for manipulation of sequences and/or activities of target sequences, including vectors and vector systems, some of which encode one or more components of a CRISPR complex, and methods for the design and use of such vectors.
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PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data.

TL;DR: A theoretical and statistical framework to determine DNA termini and phage packaging mechanisms using NGS data is developed and validated using a set of phages with well-established packaging mechanisms representative of the termini diversity.