miRBench intermediate files for datasets

Raw files from chimeric eCLIP experiments on human cell line HEK293T by Manakov et al., 2022, were pre-processed using the recommended workflow to extract UMIs and trim adapters, and further processed with HybriDetector as described in miRBench: novel benchmark datasets for microRNA binding site prediction that mitigate against prevalent microRNA frequency class bias to extract chimeric interactions. This produced the intermediate files in this record. The exact code to produce these files is available here. These files were used to produce the final datasets. Concatenation of these 19 files produces the AGO2_eCLIP_Manakov2022_full_dataset.tsv.gz file in that record.由Manakov等人2022年在人类细胞系HEK293T（human cell line HEK293T）中开展的嵌合增强型交联免疫沉淀（chimeric eCLIP）实验的原始文件，首先按照推荐分析流程完成预处理，提取唯一分子标识符(Unique Molecular Identifier, UMI)并修剪测序接头；随后参照《miRBench：面向微小RNA(microRNA)结合位点预测的新型基准数据集》一文中所述方法——该数据集旨在缓解普遍存在的微小RNA频率类别偏倚——使用HybriDetector工具开展后续处理以提取嵌合相互作用。本数据集记录中的中间文件即由此流程生成。生成这些中间文件的完整代码可在此处获取。上述中间文件被用于生成最终的目标数据集。将这19个文件进行拼接，即可得到本记录中的AGO2_eCLIP_Manakov2022_full_dataset.tsv.gz文件。