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Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
Published on: June 28, 2018
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Bioinformatic Analysis of Yeast Two-Hybrid Next-Generation Interaction Screen Data
Valeria Velásquez-Zapata1,2, J Mitch Elmore3,4,5, Roger P Wise6,7,8
1Program in Bioinformatics & Computational Biology, Iowa State University, Ames, IA, USA. vvelasqz@iastate.edu.
Methods in Molecular Biology (Clifton, N.J.)
|July 14, 2023
Summary
Yeast two-hybrid next-generation interaction screening (Y2H-NGIS) identifies novel protein interactions using sequencing data. This study details the analytical methods and software (NGPINT, Y2H-SCORES) for processing these complex datasets.
Area of Science:
- Biochemistry
- Genomics
- Bioinformatics
Background:
- Protein-protein interactions (PPIs) are fundamental to cellular processes.
- Yeast two-hybrid (Y2H) is a powerful technique for PPI discovery.
- Next-generation sequencing (NGS) enables high-throughput screening.
Purpose of the Study:
- To outline the analytical framework for Yeast Two-Hybrid Next-Generation Interaction Screening (Y2H-NGIS) datasets.
- To present computational tools for analyzing Y2H-NGIS data.
- To facilitate the identification of true protein interactions from high-throughput screening.
Main Methods:
- Characterization of bait and prey proteins in Y2H-NGIS experiments.
- Quantification of interaction signals derived from NGS data.
- Development and application of NGPINT and Y2H-SCORES software for data analysis.
Main Results:
- A layered analytical approach for Y2H-NGIS data is presented.
- NGPINT and Y2H-SCORES software facilitate efficient data processing and interaction identification.
- Y2H-SCORES is adaptable for analyzing datasets from various interaction screening techniques.
Conclusions:
- The presented analytics and software provide a robust framework for Y2H-NGIS.
- These tools enhance the discovery of novel protein-protein interactions.
- Y2H-SCORES offers a versatile solution for analyzing diverse biological interaction datasets.
