乳腺癌数据分析

乳腺癌是发生在乳腺上皮组织的恶性肿瘤，发病率在不同国家和地区之间存在显著差异，欧美的发病率较高，亚非较低。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。

Breast cancer is a malignant tumor originating from mammary gland epithelial tissues, with its incidence rate varying significantly across different countries and regions. Higher incidence rates are observed in Europe and the Americas, while lower rates are found in Asia and Africa. This dataset provides analytical workflows for DNA, RNA, and single-cell samples. Specifically, DNA analysis covers point mutations, structural variations, fusion detection, and copy number variation (CNV) analysis. For RNA-seq analysis, in addition to differential gene expression analysis, it also includes de novo transcript discovery, allele-specific expression analysis, and interaction analysis between transcripts and non-coding RNAs. Single-cell analysis encompasses cell type identification, intercellular communication analysis, single-cell trajectory analysis, and transcription factor analysis.

搜集汇总

背景与挑战

背景概述

该数据集专注于乳腺癌数据分析，提供全面的DNA、RNA及单细胞分析流程，包括点突变、结构变异、基因表达差异、细胞类别鉴定等多项分析内容，覆盖全球范围，每月动态更新，适用于乳腺癌相关研究和临床数据分析。