TSAT: Efficient evaluation software for NGS data of phage/mirror-image phage display selections

Area of Science:

• Biotechnology
• Molecular Biology
• Bioinformatics

Background:

• Phage display and mirror-image phage display are established methods for identifying target-specific binders.
• Next-generation sequencing (NGS) enhances data extraction from phage display selections, improving binder identification.
• Analyzing NGS data from phage display can be labor-intensive, posing a challenge for researchers.

Purpose of the Study:

• To develop a user-friendly software tool for efficient analysis of peptide sequence data.
• To address the increased workload associated with NGS analysis of phage display selections.
• To facilitate the selection of effective binders through streamlined data interpretation.

Main Methods:

• Development of TSAT (target-specific analysis tool) software.
• Application of TSAT to analyze peptide sequence data from NGS of phage display selections.
• Evaluation of TSAT's efficiency and user-friendliness.

Main Results:

• TSAT provides a user-friendly interface for analyzing complex peptide sequence data.
• The software efficiently processes data from NGS of phage display selections.
• TSAT aids in the identification and selection of high-affinity binders.

Conclusions:

• TSAT is an effective solution for managing the analytical workload of NGS in phage display.
• The tool enhances the efficiency of identifying specific binders.
• TSAT supports researchers in leveraging NGS data for improved binder discovery.