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Table 1 General overview of used data sets

From: Parametric and non-parametric masking of randomness in sequence alignments can be improved and leads to better resolved trees

Data set

Type

No. of genes

Taxon

No. of species

No. of cons. clades

Data source

mtI

AA

11

Eukaryota

17

12

NCBI/SwissProt

mtII

AA

5

Eukaryota

24

15

NCBI/SwissProt

EST

AA

51

Arthropoda

26

7

dbEST; KM/BMvR/FR/TB

12S + 16S

NUC

2

Arthropoda

63

9

NCBI/JD

  1. Data sets used for analyses. mtI: mitochondrial data set I; mt II: mitochondrial data set II; EST: EST data set; 12S + 16S rRNA: mitochondrial ribosomal data set. Type: Kind of sequence type. AA: Amino acid sequences; NUC: Nucleotide sequences. No. of genes: Number of genes per data set. No. of species: Number of species per data set. No. of cons. clades: Number of considered clades (selected). Data source: dbEST: EST database of NCBI; unpublished sequences provided by KM (K. Meusemann), BMvR (B. Reumont), FR (F. Roeding), TB (T. Burmester) and JD (J. Dambach).