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Table 5 Top significant assembly evaluation parameters of the first two PCA dimensions for each case study. The R coefficient measures the variable correlation with each PCA dimension

From: TransFlow: a modular framework for assembling and assessing accurate de novo transcriptomes in non-model organisms

 

PCA Dimension 1

 

PCA Dimension 2

 

Case study

Name

R Coef

Name

R Coef

Plant references

Contigs

0.955

Non-significant

 
 

Contigs500

0.953

  
 

AllTransSize

0.947

  
 

FragOrtho

0.887

  

Case study 1

N50

0.957

Contigs

0.907

(Vitis vinifera)

MeanContigLen

0.943

AllTransSize

0.650

 

MeanContigCov

0.940

Contigs500

0.545

Case study 2

ComplOrth

0.959

N90

0.923

(Olea europaea)

Contigs500

0.940

MeanContigLen

0.869

 

DiffComplProts

0.940

MeanContigCov

0.811

Case study 3

Contigs500

0.981

N90

0.949

(Castanea sativa)

ComplOrth

0.955

MeanContigLen

0.917

 

DiffProts

0.937

N50

0.809

All Podosphaera

DiffComplProts

0.966

Contigs

0.912

xanthii transcriptomes

Contigs500

0.959

AllTransSize

0.801

 

N50

0.936

Ns

0.780

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BMC Bioinformatics

ISSN: 1471-2105

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