seqTools

seqTools analyzes fastq files to quantify read length distributions, Phred quality scores, nucleotide alphabet frequencies, and DNA k-mer profiles to support sequencing data quality assessment.

Key Features:

• Read Length Analysis: Computes distributions of read lengths from fastq files to characterize fragment size variability.
• Phred Score Evaluation: Summarizes Phred scores to assess per-base and per-read quality and to flag low-quality reads.
• Alphabet Frequency Analysis: Calculates nucleotide alphabet frequencies to reveal composition biases or potential contamination.
• DNA k-mers Assessment: Counts and profiles DNA k-mers to evaluate sequence complexity relevant to assembly and error analysis.
• FASTQ Format Support: Processes both uncompressed and compressed fastq file formats.

Scientific Applications:

• Quality Control: Identifying read length variability, low Phred scores, and unusual nucleotide distributions to ensure sequencing data quality.
• Data Preprocessing: Preparing sequencing datasets for downstream analyses such as genome assembly, variant calling, and transcriptome analysis.
• Error Detection and Correction: Using k-mer profiles to detect potential sequencing errors that may impact genomic interpretation.

Methodology:

Processes fastq files to compute read length distributions, Phred score summaries, nucleotide alphabet frequencies, and DNA k-mer counts.