PET-Tool: a software suite for comprehensive processing and managing of Paired-End diTag (PET) sequence data

Area of Science:

• Bioinformatics
• Genomics
• Transcriptomics

Background:

• The Paired End diTag (PET) strategy enables efficient characterization of mammalian transcriptomes and genomes.
• Processing short PET sequences from long DNA fragments presents bioinformatics challenges in extraction and mapping.
• Automated data processing pipelines are needed for large-volume PET sequence analysis.

Purpose of the Study:

• To develop an automated bioinformatics pipeline for processing and mapping PET sequences.
• To address challenges in extracting and mapping PET sequences for large-scale genomic and transcriptomic studies.

Main Methods:

• Developed PET-Tool, an integrated computation program package as a web-based application.
• PET-Tool comprises four modules: Extractor, Examiner, Mapper, and Project Manager.
• Evaluated PET-Tool performance using 2.7 million PET sequences on a LINUX machine.

Main Results:

• PET-Tool accurately and efficiently extracts PET sequences and removes artifacts from large datasets.
• Over 70% of quality PET sequences were specifically mapped to the genome using optimized criteria.
• Processing one million PETs, from extraction to mapping, takes approximately six hours.

Conclusions:

• PET-Tool demonstrates speed, accuracy, and comprehensiveness, proving valuable for PET experiments.
• The tool can be extended for other paired-end sequence analyses and offers user-friendly data quality checks.
• PET-Tool provides a robust system for multi-layer data management in genomic research.