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Updated: May 6, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

snoStrip: a snoRNA annotation pipeline.

Sebastian Bartschat¹, Stephanie Kehr, Hakim Tafer

¹Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany.

Bioinformatics (Oxford, England)

|November 1, 2013

Summary

This summary is machine-generated.

We developed snoStrip, an automatic pipeline for annotating small nucleolar RNAs (snoRNAs) in comparative genomics. This tool aids in identifying these crucial non-coding RNAs and their targets, overcoming challenges in sequence evolution.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Small nucleolar RNAs (snoRNAs) are vital non-coding RNAs.
Comprehensive annotation of snoRNAs is lacking due to numerous families and rapid sequence evolution.

Purpose of the Study:

To develop an automated pipeline for comparative genomics of snoRNAs.
To facilitate the annotation of snoRNA families and their targets.

Main Methods:

Developed snoStrip, an automatic annotation pipeline.
Utilized sequence conservation, canonical box motifs, and secondary structure analysis.
Designed for comparative genomics of small nucleolar RNAs.

Main Results:

snoStrip provides an automated approach for snoRNA annotation.
The pipeline predicts putative targets for identified snoRNAs.
Enables efficient analysis despite sequence evolution challenges.

Conclusions:

snoStrip addresses the need for comprehensive snoRNA annotation.
Facilitates comparative genomics studies of non-coding RNAs.
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