论文标题
Cellular Liferation可以衡量作为FastQ文件的LEMPEL-ZIV复杂性
Cellular liberality is measurable as Lempel-Ziv complexity of fastq files
论文作者
论文摘要
许多研究使用转录组数据的香农熵来确定细胞的去分化和分化。证据的收集加强了转录组的香农熵可用于量化细胞降解和分化的确定性。量化这种细胞状态的状态是合理的，我们提出了术语自由度，以实现细胞去分化和分化的定量价值。在先前的研究中，我们必须通过映射，标签计数，组装和更多生物信息学处理来计算自由度，将原始转录组数据转换为定量转录组数据。如果我们可以从估计自由度中删除此转换步骤，我们可以节省计算资源和时间，并消除使用计算机时的技术困难。在这项研究中，我们提出了一种计算细胞自由的方法，而无需这些转录组数据转换过程。我们可以通过测量原始转录组数据的压缩率来计算自由度。这种技术与参考基因组数据无关，增加了细胞自由的一般性。
Many studies used the Shannon entropy of transcriptome data to determine cell dedifferentiation and differentiation. The collection of evidence has strengthened the certainty that the transcriptome's Shannon entropy may be used to quantify cellular dedifferentiation and differentiation. Quantifying this cellular status is being justified, we propose the term liberality for the quantitative value of cellular dedifferentiation and differentiation. In previous studies, we must convert the raw transcriptome data into quantitative transcriptome data through mapping, tag counting, assembling, and more bioinformatic processing to calculate the liberality. If we could remove this conversion step from estimating liberality, we could save computing resources and time and remove technical difficulties in using the computer. In this study, we propose a method of calculating cellular liberality without those transcriptome data conversion processes. We could calculate liberality by measuring the compression rate of raw transcriptome data. This technique, independent of reference genome data, increased the generality of cellular liberality.
