SSC is a tool for predicting sgRNA efficiency from spacer sequences. It supports the applications of optimizing sgRNA libraries in CRISPR/Cas9 knockout or CRISPR/dCas9 inhibition/activation screens.

Features

  • Extracting candidate spacer sequences from .fasta file
  • Predict sgRNA efficiency from the spacer sequences, for library design in CRISPR/Cas9 knockout and CRISPR/dCas9 inhibition or activation.
  • provide matrices that supports: 19-20 bps spacers in CRISPR/Cas9 knockout, optimized for human and mouse genome.
  • provide matrices that supports: 19-21 bps spacers in CRISPR/dCas9, optimized for human genome.

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Registered

2014-10-10
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