{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Cohen S"],"pubmed_abstract":["<h4>Background</h4>CRISPR is widely used to silence genes by inducing mutations expected to nullify their expression. While numerous computational tools have been developed to design single-guide RNAs (sgRNAs) with high cutting efficiency and minimal off-target effects, only a few tools focus specifically on predicting gene knockouts following CRISPR. These tools consider factors like conservation, amino acid composition, and frameshift likelihood. However, they neglect the impact of CRISPR on gene expression, which can dramatically affect the success of CRISPR-induced gene silencing attempts. Furthermore, information regarding gene expression can be useful even when the objective is not to silence a gene. Therefore, a tool that considers gene expression when predicting CRISPR outcomes is "],"journal":["Genome medicine"],"pagination":["152"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11668024"],"repository":["biostudies-literature"],"pubmed_title":["A tool for CRISPR-Cas9 sgRNA evaluation based on computational models of gene expression."],"pmcid":["PMC11668024"],"pubmed_authors":["Lynn N","Bergman S","Tuller T","Cohen S"],"additional_accession":[]},"is_claimable":false,"name":"A tool for CRISPR-Cas9 sgRNA evaluation based on computational models of gene expression.","description":"<h4>Background</h4>CRISPR is widely used to silence genes by inducing mutations expected to nullify their expression. While numerous computational tools have been developed to design single-guide RNAs (sgRNAs) with high cutting efficiency and minimal off-target effects, only a few tools focus specifically on predicting gene knockouts following CRISPR. These tools consider factors like conservation, amino acid composition, and frameshift likelihood. However, they neglect the impact of CRISPR on gene expression, which can dramatically affect the success of CRISPR-induced gene silencing attempts. Furthermore, information regarding gene expression can be useful even when the objective is not to silence a gene. Therefore, a tool that considers gene expression when predicting CRISPR outcomes is ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2026-06-03T04:56:03.76Z","creation":"2025-04-06T17:33:56.581Z"},"accession":"S-EPMC11668024","cross_references":{"pubmed":["39716183"],"doi":["10.1186/s13073-024-01420-6"]}}