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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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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 Knott

PROVIDER: E-GEOD-62183 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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