Recently, there are several papers focusing on batch recomputing the public RNA-seq data sets either by local clusters or remote cloud computing. I will put the links below:
A cloud-based workflow to quantify transcript-expression levels in public cancer compendia. one can download the TCGA and CCLE RNA-seq data in transcript-level in counts and TPM units.
used gencode v24 as reference and kallisto to calculate.Rapid and efficient analysis of 20,000 RNA-seq samples with Toil. Access the data here. Note that the data are mapped to hg38 reference genome and gencode v23 as annotation. TCGA/ICGC /GTEx and CCLE data.
intropolisis a list of exon-exon junctions found across 21,504 human RNA-seq samples on the Sequence Read Archive (SRA) from spliced read alignment to *hg19* with Rail-RNA.
4. RESTful RNA-seq Analysis API A simple RESTful API to access analysis results of all public RNAseq data for nearly 200 species in European Nucleotide Archive.
5. ExpressionAtlas bioconductor package: This package is for searching for datasets in EMBL-EBI Expression Atlas, and downloading them into R for further analysis. Each Expression Atlas dataset is represented as a SimpleList object with one element per platform. Sequencing data is contained in a SummarizedExperiment object, while microarray data is contained in an ExpressionSet or MAList object.
- Bgee as suggested in the comment.
7. The Digital Expression Explorer The Digital Expression Explorer (DEE) is a repository of digital gene expression profiles mined from public RNA-seq data sets. These data are obtained from NCBI Short Read Archive.
##