Using amino acid composition and conservation for more efficient CRISPR screens

A new, best-in-class scoring algorithm for efficacious sgRNA library production

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Presented by

Dr. Ulrich Elling

IMBA

Covered in this Webinar

See that a significant proportion of high efficiency guides exert their effects through in-frame mutations

Learn how amino acid composition and conservation can be used to predict sgRNA efficiency

Learn how these and other protein features have been combined into a ‘Bioscore’

Understand Twist Oligo Pools bring the development of custom sgRNA libraries of any size within reach.

Pooled CRISPR screens are now considered the gold standard approach for systematically elucidating gene function. However, the success of these screens depends on the knockout efficiency achieved by the guides used. To ensure the most efficient CRISPR screens, Dr. Ulrich Elling and his team at the Institute for Molecular Biotechnology in Vienna have developed a multilayered sgRNA score that markedly outperforms all previous prediction tools.

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Genes

Oligo Pools

NGS Target Enrichment Solutions

Variant Libraries

Synthetic Controls

Antibody Discovery

Using amino acid composition and conservation for more efficient CRISPR screens

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