aTAP

aTAP performs automated RNA-Seq data analysis for next-generation sequencing (NGS) experiments, providing end-to-end workflows including quality control, trimming, de novo transcriptome assembly, expression quantification, differential expression analysis, and transcript annotation.

Key Features:

• Quality Control: Initial assessment and filtering of raw RNA-Seq/NGS reads to ensure data integrity.
• Trimming: Removal of low-quality bases from sequencing reads to improve downstream analyses.
• De Novo Transcriptome Assembly: Construction of transcript sequences from RNA-Seq data without a reference genome to support non-model organisms and novel transcript discovery.
• Transcript Expression Quantification: Measurement of gene and transcript expression levels across samples or conditions.
• Differential Expression Analysis: Identification of genes or transcripts with significant expression changes between experimental groups.
• Transcript Annotation: Assignment of functional information to assembled transcripts to aid biological interpretation.
• Integrated Pipelines: Aggregation of established bioinformatics workflows to perform sequential RNA-Seq analyses in a single pipeline.

Scientific Applications:

• RNA-Seq data preprocessing: Quality assessment and read trimming for NGS RNA-Seq datasets prior to analysis.
• Transcriptome reconstruction: De novo assembly of transcriptomes for non-model organisms or studies lacking a reference genome.
• Gene expression profiling: Quantification of expression levels for comparative analyses across samples or conditions.
• Differential expression studies: Detection of genes and transcripts with significant expression changes between experimental groups.
• Functional interpretation: Annotation of assembled transcripts to support biological insight and downstream analyses.

Methodology:

Computational steps explicitly include quality control and read filtering, trimming of low-quality bases, de novo transcriptome assembly, transcript expression quantification, differential expression analysis, and transcript annotation.