Phage Display Peptide Library Randomness Analysis via NGS

Encompassing Next Generation Sequencing (NGS) data evaluating deviations from randomness in naive phage display peptide libraries. It was generated by Arie Ryvkin and published in 2020. The study identifies and corrects biases related to UAG codon overrepresentation and high G phosphoramidite abundance.

Use Cases

• Analyze UAG codon representation in naive peptide libraries to assess library construction biases.
• Model amino acid distribution biases caused by high G phosphoramidite abundance using NGS data.
• Benchmark computational epitope prediction algorithms against corrected library data with improved randomness.
• Validate the effectiveness of supE44-containing bacteria in suppressing abortive termination during phage assembly.

Strengths

• Data is derived from Next Generation Sequencing, a high-throughput method for library evaluation.
• The study provides specific corrective measures for two identified sources of bias.
• Dataset is associated with a peer-reviewed publication focusing on a critical assumption in phage display applications.
• Released under the permissive CC0 1.0 public domain license.

Limitations

• The specific data volume (e.g., number of sequences, rows, columns) is not provided, limiting assessment of statistical power.
• Data is from a specific study and may not be generalizable to all phage display library construction methods.
• The dataset's format and structure are unknown, which may complicate direct analysis.

Provenance

Source

Dryad digital repository.

Collection Method

Next Generation Sequencing of naive phage display peptide libraries, with analysis of codon and amino acid representation.

Freshness

Last updated in June 2020.