Illuminating the dark side of the human transcriptome with TAMA Iso-Seq analysis

Illuminating the dark side of the human transcriptome with TAMA Iso-Seq analysis
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DOI:
10.1101/780015
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发表时间:
2019-09
期刊:
bioRxiv
影响因子:
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通讯作者:
Richard I. Kuo;Yuanyuan Cheng;Jacqueline Smith;A. Archibald;D. Burt
Richard I. Kuo;Yuanyuan Cheng;Jacqueline Smith;A. Archibald;D. Burt
中科院分区:
其他
文献类型:
--
作者:
Richard I. Kuo;Yuanyuan Cheng;Jacqueline Smith;A. Archibald;D. Burt

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人类转录组是最好注释的真核生物物种之一。然而,技术上的限制使发现偏向于蛋白质编码剪接基因。精确的高通量长读段RNA测序现在有可能研究以前无法检测到的基因。使用我们的Transcriptome Annotation by Modular Algorithms(TAMA)工具包来分析Pacific Bioscience Universal Human Reference RNA Sequel II Iso-Seq数据集,我们发现了数千个潜在的新基因,并确定了RNA制备和长读段数据处理中的挑战,这些挑战对转录组注释有重大影响。
The human transcriptome is one of the most well-annotated of the eukaryotic species. However, limitations in technology biased discovery toward protein coding spliced genes. Accurate high throughput long read RNA sequencing now has the potential to investigate genes that were previously undetectable. Using our Transcriptome Annotation by Modular Algorithms (TAMA) tool kit to analyze the Pacific Bioscience Universal Human Reference RNA Sequel II Iso-Seq dataset, we discovered thousands of potential novel genes and identified challenges in both RNA preparation and long read data processing that have major implications for transcriptome annotation.