StreamingTrim 1.0: a Java software for dynamic trimming of 16S rRNA sequence data from metagenetic studies

Area of Science:

• Molecular Microbial Ecology
• Bioinformatics
• Genomics

Background:

• Next-generation sequencing (NGS) is crucial for microbial community analysis.
• PCR amplicon sequencing (metagenetics) is widely used but requires quality control.
• Low-quality DNA sequence trimming is essential for accurate taxonomic assignment.

Purpose of the Study:

• To introduce StreamingTrim, a novel software for DNA sequence quality trimming.
• To provide a user-friendly tool for conservative trimming of amplicon sequencing data.
• To maximize the retention of taxonomic information during sequence processing.

Main Methods:

• StreamingTrim software developed in Java with a graphical user interface.
• Reads and analyzes DNA sequences from FASTQ files one by one.
• Employs a conservative trimming approach to remove low-quality segments.

Main Results:

• StreamingTrim effectively analyzes DNA sequence quality and trims low-quality regions.
• The software retains significant taxonomic information in trimmed amplicon data.
• Computational efficiency allows processing on standard desktop or laptop computers.

Conclusions:

• StreamingTrim is a valuable tool for researchers in molecular microbial ecology.
• The software facilitates accurate taxonomic profiling by preserving essential sequence data.
• User-friendly design and efficient processing enhance its utility for amplicon-based studies.