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sRNAnalyzer-a flexible and customizable small RNA sequencing data analysis pipeline
Xiaogang Wu1, Taek-Kyun Kim1, David Baxter1
1Institute for Systems Biology, Seattle, WA 98109, USA.
Nucleic Acids Research
|October 26, 2017
Summary
Analyzing small RNA sequencing (sRNA-Seq) data is challenging. The sRNAnalyzer pipeline improves microRNA (miRNA) profiling, mapping accuracy, and ribosomal RNA filtering for better small RNA analysis.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- Small RNA sequencing (sRNA-Seq) analysis faces challenges with short read lengths, leading to ambiguous sequence identification.
- Inconsistent microRNA (miRNA) measurements across platforms and difficulties in mapping variations like isomiRs and RNA editing complicate analysis.
- Identifying the origin of unmapped reads after database screening remains a significant hurdle in sRNA-Seq data interpretation.
Purpose of the Study:
- To develop a comprehensive and customizable pipeline, sRNAnalyzer, to address the key challenges in small RNA sequencing data analysis.
- To enhance the accuracy of microRNA profiling, mapping, and identification of sequence variations.
- To improve the filtering of ribosomal RNA and the accurate mapping of exogenous RNAs.
Main Methods:
- Implemented comprehensive miRNA profiling strategies to manage isomiRs and nucleotide-level summarization for SNP detection.
- Developed diverse sequence mapping assignment approaches, including simulation of microarray/qRT-PCR results and a probabilistic model for ID assignment.
- Integrated extensive ribosomal RNA filtering and taxonomy-based summarization for precise exogenous RNA mapping.
Main Results:
- The sRNAnalyzer pipeline demonstrated effective handling of isomiRs and potential miRNA SNPs.
- The pipeline successfully simulated results comparable to microarray/qRT-PCR platforms and improved mapping accuracy.
- Evaluations on artificial and biological samples confirmed the pipeline's robustness in ribosomal RNA filtering and exogenous RNA mapping.
Conclusions:
- sRNAnalyzer provides a robust solution for complex small RNA sequencing data analysis.
- The pipeline enhances the accuracy and consistency of miRNA profiling and mapping, addressing critical limitations in current tools.
- sRNAnalyzer facilitates more reliable identification and quantification of small RNA populations, including exogenous RNAs.
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