def run_rsem_postprocess(job, rsem_gene_id, rsem_isoform_id):
work_dir = job.fileStore.getLocalTempDir()<EOL>genes = job.fileStore.readGlobalFile(rsem_gene_id, os.path.join(work_dir, '<STR_LIT>'))<EOL>iso = job.fileStore.readGlobalFile(rsem_isoform_id, os.path.join(work_dir, '<STR_LIT>'))<EOL>command = ['<STR_LIT>', '<STR_LIT>', '<STR_LIT>', '<STR_LIT>']<EOL>dockerCall(job=job, tool='<STR_LIT>',<EOL>parameters=command, workDir=work_dir)<EOL>hugo_files = [os.path.join(work_dir, x) for x in ['<STR_LIT>', '<STR_LIT>']]<EOL>tarball_files('<STR_LIT>', file_paths=[os.path.join(work_dir, x) for x in [genes, iso]], output_dir=work_dir)<EOL>tarball_files('<STR_LIT>', file_paths=[os.path.join(work_dir, x) for x in hugo_files], output_dir=work_dir)<EOL>rsem_id = job.fileStore.writeGlobalFile(os.path.join(work_dir, '<STR_LIT>'))<EOL>hugo_id = job.fileStore.writeGlobalFile(os.path.join(work_dir, '<STR_LIT>'))<EOL>return rsem_id, hugo_id<EOL>
Parses RSEMs output to produce the separate .tab files (TPM, FPKM, counts) for both gene and isoform.
These are two-column files: Genes and Quantifications.
HUGO files are also provided that have been mapped from Gencode/ENSEMBLE names.

:param JobFunctionWrappingJob job: passed automatically by Toil
:param str rsem_gene_id: FileStoreID of rsem_gene_ids
:param str rsem_isoform_id: FileStoreID of rsem_isoform_ids
:return: FileStoreID from RSEM post process tarball
:rytpe: str