A dose-response model for statistical analysis of chemical genetic interactions in CRISPRi screens.
An important application of CRISPR interference (CRISPRi) technology is for identifying chemical-genetic interactions (CGIs). Discovery of genes that interact with exposure to antibiotics can yield insights to drug targets and mechanisms of action or resistance. The objective is to identify CRISPRi...
Saved in:
| Main Authors: | Sanjeevani Choudhery, Michael A DeJesus, Aarthi Srinivasan, Jeremy Rock, Dirk Schnappinger, Thomas R Ioerger |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-05-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011408&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Whole genome CRISPRi screening identifies druggable vulnerabilities in an isoniazid resistant strain of Mycobacterium tuberculosis
by: XinYue Wang, et al.
Published: (2024-11-01) -
Transposon-sequencing across multiple Mycobacterium abscessus isolates reveals significant functional genomic diversity among strains
by: Chidiebere Akusobi, et al.
Published: (2025-02-01) -
Multi-locus CRISPRi targeting with a single truncated guide RNA
by: Molly M. Moore, et al.
Published: (2025-02-01) -
Rationally designed pooled CRISPRi-seq uncovers an inhibitor of bacterial peptidyl-tRNA hydrolase
by: A.S.M. Zisanur Rahman, et al.
Published: (2024-11-01) -
GLiDe: a web-based genome-scale CRISPRi sgRNA design tool for prokaryotes
by: Tongjun Xiang, et al.
Published: (2025-01-01)