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Table 1 Run summary on the Illumina MiSeq platform

From: RNA-Seq transcriptomic analysis with Bag2D software identifies key pathways enhancing lipid yield in a high lipid-producing mutant of the non-model green alga Dunaliella tertiolecta

Sample name Sequencing stats and pre-alignment QA/QC of raw data/ pre-alignment QA/QC of post-trimming data Post-alignment QA/QC after alignment
Total reads Avg. read length Avg. read quality % N % GC Total reads Aligned (%)
D9_S7_L001_R1 954,340/954,300 137.28/137.2 38/38.01 9.62E−04/0 47.74/47.73 954,300 56.72
D9_S7_L001_R2 954,340/954,300 137.07/136.98 37.69/37.7 1.04E−03/0 47.67/47.66
WT_S8_L001_R1 1,084,599/1,084,546 136.67/136.59 38/38.01 1.11E−03/0 47.41/47.4 1,084,546 57.24
WT_S8_L001_R2 1,084,599/1,084,546 136.36/136.28 37.76/37.78 1.25E−03/0 47.34/47.33
  1. QA/QC Quality assurance and quality control
  2. Avg. read quality >30 indicating 99.9 % accuracy or greater
  3. The ones in italic font were data generated from post-trimming