肺癌数据分析

肺癌是一种起源于肺部支气管黏膜或腺体的恶性肿瘤，是全球范围内最常见的癌症之一，也是癌症死亡的主要原因。本产品提供DNA、RNA的分析流程以及单细胞的分析流程。其中DNA包含点突变、结构变异、融合分析、CNV变异分析。RNAseq除了基因表达差异外，还包括新转录本发现、等位基因特异性表达、转录本和非编码RNA的相互作用。单细胞分析包括细胞类别鉴定、细胞间通讯、单细胞轨迹分析、转录因子的分析。

Lung cancer is a malignant tumor originating from the bronchial mucosa or glands of the lung, ranking among the most prevalent cancers worldwide and the leading cause of cancer-related deaths globally. This dataset provides analytical workflows for DNA, RNA, and single-cell samples. Specifically, the DNA analysis workflow covers point mutation detection, structural variation identification, fusion gene analysis, and copy number variation (CNV) profiling. For RNA-seq analysis, in addition to differential gene expression analysis, it includes de novo transcript discovery, allele-specific expression analysis, and the interaction between transcripts and non-coding RNAs. Single-cell analysis encompasses cell type identification, cell-cell communication inference, single-cell trajectory reconstruction, and transcription factor activity analysis.

搜集汇总

背景与挑战

背景概述

该数据集专注于肺癌相关的多组学数据分析，覆盖DNA、RNA及单细胞层面，可进行点突变、结构变异、基因表达差异、细胞通讯等多种高级分析。数据来源可靠，更新频率为每月，适用于全球范围的医疗健康与生物医药研究。