RiboSeq Analysis Challenges

Several RiboSeq analysis tools exist, but each comes with technical limitations. Common issues include:

• Python 2 scripts that are incompatible with modern environments
• Permission restrictions preventing installation
• Outdated packages that don't support Python 3

RiboTaper Implementation

The standard RiboTaper workflow includes three main steps:

1. Execute create_annotations_files.bash
2. Run create_metaplots.bash
3. Process with Ribotaper.sh

The Ribotaper.sh script often requires manual adjustments during execution. Example troubleshooting cmomands:

nohup /path/to/tracks_analysis_multiprocessing.R nonccds 10 /path/to/libexec &
nohup /path/to/annotate_exons.R ../annotation/ 10 &

RiboCode Implementation

RiboCode specializes in identifying RNA translation activity and constructing translatomes. While published in 2018, it requires updates for current environments.

Processing Steps

1. Adapter trimming with fastp
2. rRNA/tRNA removal using bowtie (not bowtie2) for short reads
3. Mapping with remaining unaligned reads

Transcript Preparation

The prepare_transcripts script requires these essential parameters:

prepare_transcripts -g /path/to/gtf_file.gtf \
                   -f /path/to/genome.fasta \
                   -o /path/to/output_directory

Key arguments:

• -g: GTF annotation file (GENCODE/ENSEMBL format)
• -f: Genome sequence in FASTA format
• -o: Output directory path

Metaplot Generation

The metaplots script predicts P-site positions with these basic parameters:

metaplots -h  # Show help
metaplots -V  # Display version