Transcriptomics

Dataset Information

298

ShRNA Sensor Analysis of DSIR Selected shRNAs


ABSTRACT: Purpose: Generate a large, high quality database of paired shRNA efficacy/sequence datapoints. Methods:Twelve shRNAs for each Refseq annotated human gene were selected based on the DSIR algorithm. Twelve batches of ~22K shRNAs (corresponding to 12 agilent chips) were then assessed for efficacy via the sensor method outlined in Fellmann et al, Mol Cell, 2011. Conclusions: Neighboring nucleotide combinations are best at predicting shRNA efficacy.

ORGANISM(S): synthetic construct  

SUBMITTER: Simon R Knott   Simon Robert Vincent Knott 

PROVIDER: E-GEOD-62183 | ArrayExpress | 2014-11-24

SECONDARY ACCESSION(S): GSE62183SRP048751PRJNA263390

REPOSITORIES: GEO, ArrayExpress, ENA

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