Analysis dataset for the paper "Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks"

This dataset contains additional files related to the paperE. Sebestyén*, B. Singh*, B. Miñana, A. Pagès, F. Mateo, M. A. Pujana, J. Valcárcel, E. Eyras (2016) Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks. Genome Res, 26: 732-744, doi:10.1101/gr.199935.115It contains the following tar.gz archives:GR-Sebestyen-2016-TCGA-correlations.tgz contains the Spearman correlation of the alternative splicing event PSI values with the expression z-score of the differentially expressed RBPs in a particular tumor type.GR-Sebestyen-2016-TCGA-deltapsi.tgz contains the differential splicing analysis results of the events between the tumor and normal conditions in a particular tumor type.GR-Sebestyen-2016-TCGA-diffexp.tgz contains the differential expression analysis results of all genes between the tumor and normal conditions in a particular tumor type. GR-Sebestyen-2016-TCGA-motif.tgz contains the fasta sequence of all event types, and the number of RNAcompete motifs found in the events using FIMO.GR-Sebestyen-2016-TCGA-psi.tgz contains the PSI values of all events in all samples processed in a particular tumor type.GR-Sebestyen-2016-TCGA-tpm.tgz contains the TPM values of all isoforms in all samples processed in a particular tumor type. GR-Sebestyen-2016-TCGA-zscore.tgz contains the expression z-score of all genes in all samples processed in a particular tumor type.GR-Sebestyen-2016-TCGA-fimo.tgz contains the original RNAcompete FIMO results for all event types.For details on data generation, see the Genome Research paper. The data presented here are based upon data generated by the TCGA Research Network: http://cancergenome.nih.govIf you reuse the data, please cite the Genome Research paper.本数据集包含与论文《大规模多肿瘤基因组与转录组变异分析揭示新的癌症相关剪接网络》（作者：E. Sebestyén*、B. Singh*、B. Miñana、A. Pagès、F. Mateo、M. A. Pujana、J. Valcárcel、E. Eyras，2016年发表于《基因组研究》（*Genome Res*），卷26，页码732-744，DOI: 10.1101/gr.199935.115）相关的补充文件。本数据集包含以下tar.gz压缩包：GR-Sebestyen-2016-TCGA-correlations.tgz 存储特定肿瘤类型中可变剪接事件的剪接占比（PSI, Percent Spliced In）值与差异表达RNA结合蛋白（RBPs, RNA-binding proteins）的表达z分数之间的斯皮尔曼相关系数；GR-Sebestyen-2016-TCGA-deltapsi.tgz 包含特定肿瘤类型中肿瘤与正常样本间各可变剪接事件的差异剪接分析结果；GR-Sebestyen-2016-TCGA-diffexp.tgz 包含特定肿瘤类型中肿瘤与正常样本间所有基因的差异表达分析结果；GR-Sebestyen-2016-TCGA-motif.tgz 包含所有可变剪接事件类型的FASTA序列，以及使用FIMO在事件中检测到的RNAcompete基序数量；GR-Sebestyen-2016-TCGA-psi.tgz 包含特定肿瘤类型中所有已处理样本的所有可变剪接事件的PSI值；GR-Sebestyen-2016-TCGA-tpm.tgz 包含特定肿瘤类型中所有已处理样本的所有转录本的每百万转录本数（TPM, Transcripts Per Million）值；GR-Sebestyen-2016-TCGA-zscore.tgz 包含特定肿瘤类型中所有已处理样本的所有基因的表达z分数；GR-Sebestyen-2016-TCGA-fimo.tgz 包含所有可变剪接事件类型的原始RNAcompete FIMO分析结果。有关数据生成的详细细节，请参阅上述《基因组研究》论文。本数据集所呈现的数据基于癌症基因组图谱（TCGA, The Cancer Genome Atlas）研究网络生成的数据，来源网址为http://cancergenome.nih.gov。若您复用本数据集，请引用该《基因组研究》论文。