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Table 3 Resulting assembly size and taxonomic, functional, and core content recovery of jEUKebox outputs after raw read simulation and re-assembly with eukrhythmic

From: Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly

Community

Simulated Contigs

Number of Assembled Contig Clusters

Assembly Size (MB)

MMETSP Genera

Designer Genera

Recovered Genera

MMETSP Species

Designer Species

Recovered Species

Designer Distinct KOs

Recovered Distinct KOs

1

51741 \(\pm\) 6031

32.6 \(\pm\) 3.6

59489 \(\pm\) 4825

3.8 \(\pm\) 0.5

4.4 \(\pm\) 1.1

3.1 \(\pm\) 1.1

3.9 \(\pm\) 0.4

4.9 \(\pm\) 0.6

3.5 \(\pm\) 1.3

3435.1 \(\pm\) 429.6

1941.2 \(\pm\) 161.5

2

44180 \(\pm\) 3486

26.1 \(\pm\) 2.6

49354 \(\pm\) 4948

3.2 \(\pm\) 0.9

4.4 \(\pm\) 1.2

3.4 \(\pm\) 0.7

3.4 \(\pm\) 0.7

4.6 \(\pm\) 1.1

3.2 \(\pm\) 0.7

3422.5 \(\pm\) 412.1

1816.9 \(\pm\) 188.8

3

47862 \(\pm\) 7756

28.0 \(\pm\) 5.2

53379 \(\pm\) 6921

4.4 \(\pm\) 0.9

5.0 \(\pm\) 0.0

3.6 \(\pm\) 0.9

4.5 \(\pm\) 0.9

5.2 \(\pm\) 0.5

3.2 \(\pm\) 0.7

3346.4 \(\pm\) 369.2

1879.2 \(\pm\) 154.7

4

49911 \(\pm\) 6524

29.5 \(\pm\) 4.7

57262 \(\pm\) 6752

5.1 \(\pm\) 1.4

5.9 \(\pm\) 1.1

3.2 \(\pm\) 1.0

5.8 \(\pm\) 0.9

6.6 \(\pm\) 0.9

3.4 \(\pm\) 0.9

3284.8 \(\pm\) 204.2

1895.8 \(\pm\) 149.2

5

44262 \(\pm\) 6254

25.9 \(\pm\) 3.2

50042 \(\pm\) 5395

3.8 \(\pm\) 0.9

4.6 \(\pm\) 1.1

2.8 \(\pm\) 0.7

3.9 \(\pm\) 0.8

5.0 \(\pm\) 0.9

2.8 \(\pm\) 0.7

3226.0 \(\pm\) 545.6

1720.6 \(\pm\) 127.9

6

52795 \(\pm\) 5152

31.2 \(\pm\) 2.9

59826 \(\pm\) 4076

5.6 \(\pm\) 1.3

6.2 \(\pm\) 1.2

2.8 \(\pm\) 0.7

6.4 \(\pm\) 0.9

7.2 \(\pm\) 0.7

3.2 \(\pm\) 1.0

3049.9 \(\pm\) 355.6

1882.6 \(\pm\) 156.9

  1. Four assemblers were used in this analysis which were then clustered together using default eukrhythmic settings. The mean and standard deviation of four trials of each community and list of MMETSP IDs is presented. We also show the number of genera that were (1) originally included via transcriptomes leveraged from the MMETSP (2) identified using EUKulele within the simulated metatranscriptomes and (3) recovered in the reassembled data after application of the eukrhythmic pipeline. For functional KO IDs, only the designer assemblies and the eukrhythmic reassembled products could be compared. A version of this table in which the two distinct communities designed from the MMETSP (combining the two contributes to relatively high standard deviation) are presented separately is provided as a supplement
  2. More information: https://github.com/AlexanderLabWHOI/jEUKebox