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 paper<br><br>E. 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. <i>Genome Res</i>, <b>26</b>: 732-744, doi:10.1101/gr.199935.115<br><br>It contains the following tar.gz archives:<br><br><b>GR-Sebestyen-2016-TCGA-correlations.tgz</b> 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.<br><br><b>GR-Sebestyen-2016-TCGA-deltapsi.tgz</b> contains the differential splicing analysis results of the events between the tumor and normal conditions in a particular tumor type.<br><br><b>GR-Sebestyen-2016-TCGA-diffexp.tgz</b> contains the differential expression analysis results of all genes between the tumor and normal conditions in a particular tumor type.<br> <br><b>GR-Sebestyen-2016-TCGA-motif.tgz</b> contains the fasta sequence of all event types, and the number of RNAcompete motifs found in the events using FIMO.<br><br><b>GR-Sebestyen-2016-TCGA-psi.tgz</b> contains the PSI values of all events in all samples processed in a particular tumor type.<br><br><b>GR-Sebestyen-2016-TCGA-tpm.tgz</b> contains the TPM values of all isoforms in all samples processed in a particular tumor type.  <br><br><b>GR-Sebestyen-2016-TCGA-zscore.tgz</b> contains the expression z-score of all genes in all samples processed in a particular tumor type.<br><br><b>GR-Sebestyen-2016-TCGA-fimo.tgz</b> contains the original RNAcompete FIMO results for all event types.<br><br>For details on data generation, see the Genome Research paper. <br><br>The data presented here are based upon data generated by the TCGA Research Network: <strong>http://cancergenome.nih.gov</strong><br><br>If you reuse the data, please cite the Genome Research paper.<br>