Tailer

Tailer analyzes non-polyadenylated RNAs (ncRNAs) 3' end processing to quantify trimming and tailing events and identify statistically significant changes in the RNA 3' tailome.

Key Features:

• Two-component pipeline: Separate Tailer-processing and Tailer-analysis modules perform 3' end quantification and downstream statistical analysis.
• Input formats: Processes SAM-formatted alignment files and FASTQ sequence read files from next-generation sequencing experiments that retain RNA 3' end information.
• Reference sources: Leverages genome annotation or reference FASTA gene sequences for mapping and quantification of 3' ends.
• 3' end quantification: Quantifies RNA 3' ends and 3' end structures to generate a foundational dataset for analysis.
• Statistical identification: Employs rigorous statistical methods to identify statistically significant targets of RNA trimming and tailing.
• Data visualization: Generates graphical representations to facilitate exploration and interpretation of RNA 3' end datasets.

Scientific Applications:

• Post-transcriptional modification analysis: Investigate trimming and tailing of ncRNA 3' ends to study RNA processing and quality control.
• Comparative tail dynamics: Quantify changes in ncRNA tailing and trimming across biological conditions or experiments.
• Target discovery: Identify statistically significant targets of RNA trimming and tailing.
• Reanalysis and validation: Apply to RNA 3' end sequencing datasets to recapitulate and validate findings from published studies.

Methodology:

Tailer-processing quantifies RNA 3' ends from SAM or FASTQ reads using genome annotation or reference FASTA gene sequences; Tailer-analysis applies rigorous statistical methods to the processed outputs to identify targets of trimming and tailing and produces graphical summaries.