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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 Data source: dbEST: EST database of NCBI; unpublished sequences provided by KM (K. Meusemann), BMvR (B. Reumont), FR (F. Roeding), TB (T. Burmester) and JD (J. Dambach).