title: RNA-Seq of Brassica juncea var. tumida: inflated tumourous stems
design: In order to guarantee the data quality which was used to analysis, the useful Perl script was used to filter the original data (Raw Data). The steps are 1)  Trim Smart-seq2 public primer sequence from the Reads (If the length of trimmed Reads is lower than 30bp, reads should be discarded. If it is PE sequence, both of the reads must be removed ); 2)  Remove the contaminated reads for adapters (The contaminated reads for adapters was defined that the Read Bases contained more than 5bp of adapter sequences. If either one of the PE Reads was polluted, we will remove both end of the reads); 3)  Remove the low quality reads (The low quality reads was defined that the number of Reads Bases whose phred Quality value was less than or equal to 19 accounted for more than 15% . If either one of the PE Reads defined as low quality, we will remove both ends of the reads); 4)  Remove the reads whose N base more than 5% for total bases (If either one of the PE Reads had high Ns bases, we will remove both ends of the reads). Bowtie2 v2.2.3 was used for building the genome index, and Clean Data was then aligned to the reference genome using HISAT2 v2.1.0. HISAT2 is the successor to TopHat2, which uses a modified BWT algorithm to convert reference genomes to index for faster speed and fewer resources.