The ICAnnoLncRNA Pipeline for a Long-Non-coding-RNA Search and Annotation in Transcriptomic Data: an Application to Maize

Long non-coding RNAs (lncRNAs) are RNA molecules longer than 200 nucleotides that do not encode proteins. Experimental studies have shown the diversity and importance of lncRNA functions in plants. To expand knowledge about lncRNAs in other species, computational pipelines that allow for standardised data-processing steps in a mode that does not require user control up to the final result were actively developed recently. These advancements enable wider functionality for lncRNA data identification and analysis. In the present work, we propose the ICAnnoLncRNA pipeline for automatic identification, classification and annotation of plant lncRNAs in transcriptomic sequences assembled from high-throughput RNA sequencing (RNA-seq) data.
In the present work, we proposed a pipeline ICAnnoLncRNA for automatic prediction, classification, and annotation of plant lncRNAs. We analysed sequences from 15 maize transcriptome libraries from different plant tissues/organs.

长非编码RNA（lncRNA）是指长度超过200个核苷酸且不编码蛋白质的RNA分子。实验研究表明，植物中lncRNA功能的多样性和重要性。为了拓展对其他物种中lncRNA的认识，近期积极开发了允许在无需用户控制直至最终结果的模式下进行标准化数据处理步骤的计算管道。这些进展使得lncRNA数据的识别和分析功能得到更广泛的扩展。在本研究中，我们提出了ICAnnoLncRNA管道，用于从高通量RNA测序（RNA-seq）数据组装的转录组序列中自动识别、分类和注释植物lncRNA。在本研究中，我们提出了ICAnnoLncRNA管道，用于植物lncRNA的自动预测、分类和注释。我们分析了来自15个不同植物组织/器官的玉米转录组库的序列。