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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