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Analysis dataset for the paper "Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks"
dataset
posted on 2016-06-29, 12:28 authored by Endre SebestyénEndre Sebestyén, Babita SinghBabita Singh, Belén Miñana, Amadís Pagès, Francesca Mateo, Miguel Angel Pujana, Juan Valcárcel, Eduardo EyrasEduardo EyrasThis dataset contains additional files related to the paper
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. Genome Res, 26: 732-744, doi:10.1101/gr.199935.115
It 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.gov
If you reuse the data, please cite the Genome Research paper.
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. Genome Res, 26: 732-744, doi:10.1101/gr.199935.115
It 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.gov
If you reuse the data, please cite the Genome Research paper.
