sRNA workflow

sRNA workflow performs comprehensive end-to-end analysis of high-throughput small RNA (sRNA) sequencing data in model and nonmodel plants, converting raw reads into identification and annotation of conserved and novel sRNA sequences.

Key Features:

• End-to-end processing: Integrates sequential steps to take data from raw sRNA reads through to annotated results.
• UNIX shell script integration: Uses interconnected UNIX shell scripts to automate execution of open-source sRNA analysis software.
• Parallel processing: Processes multiple sRNA libraries simultaneously to enable comparison of sRNA read accumulation across libraries.
• Identification and annotation: Supports identification and annotation of conserved and novel sRNA sequences.
• Applicability to diverse plants: Validated with datasets from both model and nonmodel plant species.
• Alias: Referred to as miRPursuit in the original description.

Scientific Applications:

• Small RNA discovery and annotation: Identification and annotation of conserved and novel sRNAs in plant datasets.
• Comparative sRNA expression analysis: Comparison of sRNA read accumulation across multiple libraries for differential expression studies.
• Plant genomics and molecular biology: Support for studies in plant genomics and molecular biology that require sRNA profiling and annotation.

Methodology:

Interconnected UNIX shell scripts automate open-source sRNA analysis tools to perform quality control, read alignment, differential expression analysis, and annotation.