Browsable TIF-Seq2 tracks from K562 after imatinib treatment

Browsable dataset containing transcript boundaries for the manuscript:Jingwen Wang, Bingnan Li, Sueli Marques, Lars M Steinmetz, Wu Wei, Vicent Pelechano, TIF-Seq2 disentangles overlapping isoforms in complex human transcriptomes, Nucleic Acids Research, Volume 48, Issue 18, 09 October 2020, Page e104, https://doi.org/10.1093/nar/gkaa691 The alignment files contains sequences of K562 cells using TIF-Seq2 method. The sequencing reads were aligned to the human reference genome hg38. Each read pair represents the boundary of an individual transcript. The first reads in pairs are 5' ends, while the second reads in pairs are 3' ends. The alignment files can be loaded into IGV for visualization. You can set up view as pairs in the alignment track.Source code for the associated manuscript is available from GitHub at https://github.com/jingwen/TIFseq2Raw data is deposited at GEO with access code GSE140912

本数据集为可浏览的文档边界转录本集，收录了王静文、李冰楠、马塞莉、拉尔斯·M·斯坦梅茨、魏武、维森特·佩莱查诺等作者所著《TIF-Seq2解耦复杂人类转录组中的重叠异构体》一文的转录边界信息。该研究发表于《核酸研究》杂志第48卷第18期，2020年10月9日，页码e104，DOI：https://doi.org/10.1093/nar/gkaa691。对K562细胞进行的序列比对文件采用了TIF-Seq2方法，其测序读段已与人类参考基因组hg38进行比对。每对读段代表一个个体转录本的边界，其中每对中的首个读段为5'端，第二个读段为3'端。这些比对文件可加载至IGV中进行可视化，并在比对轨迹中设置为成对视图。相关研究论文的源代码可通过GitHub获取，链接为https://github.com/jingwen/TIFseq。原始数据已存档于GEO，访问代码为GSE140912。