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.

Project Activity

See All Activity >

Follow SSC

SSC Web Site

Other Useful Business Software
Cut Cloud Costs with Google Compute Engine Icon
Cut Cloud Costs with Google Compute Engine

Save up to 91% with Spot VMs and get automatic sustained-use discounts. One free VM per month, plus $300 in credits.

Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
Try Compute Engine
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SSC!

Additional Project Details

Registered

2014-10-10
Report inappropriate content