摘要翻译：
我们研究了西伯利亚落叶松转录组的结构集成。用$K$-means技术对64维空间中的簇进行了识别，其中待聚类的对象是基因组的不同片段。这些碎片的分布呈四面体状。Chargaff的差异度量是为每个班级以及班级之间的差异度量确定的。它揭示了类的相对相似性。这些结果已经与每个组织的特定转录组的结果进行了比较。此外，一个替代转录组已经被开发，包括为特定组织组装的连接体；后者与真实的总转录组进行了比较，观察到有显著性差异。
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英文标题：
《Some preliminary results on relation between triplet composition and
  tissue source in larch total transcriptome》
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作者：
Michael Sadovsky, Tatiana Guseva, Vladislav Birukov, Tatiana Shpagina,
  Victoria Fedotovskaya
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最新提交年份：
2018
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  We studied the structuredness ensemble of transcriptome of Siberian larch. The clusters in 64-dimensional space were identified with $K$-means technique, where the objects to be clusterized are the different fragments of the genome. A tetrahedron like structure in distribution of these fragments was found. Chargaff's discrepancy measure was determined for each class, as well as that latter between the classes. It reveals a relative similitude of the classes. The results have been compared to those obtained for specific transcriptome of each tissue. Also, a surrogate transcriptome has been developed comprising the contigs assembled for specific tissues; that latter has been compared with the real total transcriptome, and significant difference has been observed.
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PDF链接：
https://arxiv.org/pdf/1803.03461