fcGENE: a versatile tool for processing and transforming SNP datasets.

Area of Science:

• Genomics
• Bioinformatics
• Statistical Genetics

Background:

• High-dimensional SNP data analysis requires diverse biostatistical methods.
• Existing software often uses incompatible data formats, necessitating extensive data management and format conversions.
• Efficient data handling is crucial for accurate population structure, association, and genotype imputation analyses.

Purpose of the Study:

• To develop a software tool, fcGENE, for efficient management and bio-statistical quality control of high-dimensional SNP data.
• To simplify and automate the integration of various analysis packages within genomic data workflows.
• To facilitate genotype imputation and subsequent analyses through streamlined data processing.

Main Methods:

• Developed fcGENE using C++ object-oriented programming.
• Implemented automated data format transformation for compatibility with multiple analysis packages.
• Integrated bio-statistical quality control and filtering processes at SNP and sample levels.
• Included functionality for data management tasks like merging, splitting, and extracting information.
• Generated command templates for specific software, particularly for genotype imputation.

Main Results:

• fcGENE supports data transformation for numerous analysis packages (e.g., PLINK, SNPTEST, MaCH, IMPUTE).
• The software enables efficient data management, quality control, and filtering of SNP data.
• Example workflows demonstrate fcGENE's utility in SNP data analysis.
• A comprehensive manual detailing commands, options, and applications is provided.

Conclusions:

• fcGENE is a user-friendly, open-source software solution for SNP data management, quality control, and analysis.
• The software is highly recognized and widely adopted by the scientific community, as indicated by download statistics and user feedback.