MOESM1 of Split-inducing indels in phylogenomic analysis

Additional file 1: Figure S1. Normalized quartet distances for the simulated data sets

Photometric data ouabain sensitivity of fly Na+/K+-ATPase

Descriptions are included in the data file

Le Courrier

22 octobre 18271827/10/22 (A0,N295)

Additional file 2 of Orthograph: a versatile tool for mapping coding nucleotide sequences to clusters of orthologous genes

Species, 1KITE library IDs (see http://1kite.org/1kite_species.php ), number of assembled transcripts, total assembly size, N50 values, and NCBI GenBank accession numbers. Note that the assemblies were filtered to contain only contigs longer than 199 bp. (TXT 4 kb

Gene trees of insect insulator proteins

This archive contains all gene trees inferred from amino acid alignments of insulator protein sequences that were found in the 1KITE transcriptome data. The gene trees are in the .newick file format

Amino acid alignments of insect insulator proteins

This archive contains amino acid alignments of all insect insulator proteins found in the 1KITE transcriptome data and the sequences that were used, to infer profile Hidden Markov Models for this search. The alignments are in the .fasta file format

Nucleotide alignments of insect insulator proteins

This archive contains all nucleotide alignments of insect insulator protein sequences found in the 1KITE project. These alignments have been used to infer dN/dS ratios as markers for positive or negative selection in these sequences. The alignments are in the .fasta file format

Additional file 2: Table S1. of Transcriptomic data from panarthropods shed new light on the evolution of insulator binding proteins in insects

BUSCO assessment of the 1KITE transcriptomes. (XLS 21 kb

Additional file 1: Figure S1. of Transcriptomic data from panarthropods shed new light on the evolution of insulator binding proteins in insects

Tracing the evolutionary origin of CTCF with ancestral state reconstruction. Figure S2. Tracing the evolutionary origin of Su(Hw) with ancestral state reconstruction. Figure S3. Tracing the evolutionary origin of CP190 with ancestral state reconstruction. Figure S4. Tracing the evolutionary origin of GAF with ancestral state reconstruction. Figure S5. Tracing the evolutionary origin of Pita with ancestral state reconstruction. Figure S6. Tracing the evolutionary origin of Mod(mdg4) with ancestral state reconstruction. Figure S7. Tracing the evolutionary origin of Zw5 with ancestral state reconstruction. Figure S8. Phylogenetic gene tree of CTCF orthologs. Figure S9. Phylogenetic gene tree of Su(Hw) orthologs. Figure S10. Phylogenetic gene tree of CP190 orthologs. Figure S11. Phylogenetic gene tree of GAF orthologs. Figure S12. Phylogenetic gene tree of Pita orthologs. Figure S13. Phylogenetic gene tree of Mod(mdg4) orthologs. Figure S14. Phylogenetic gene tree of Zw5 orthologs. Figure S15. Phylogenetic analysis of Zw5 and meiotic central spindle (Meics). (PDF 474 kb

Arcing event detection

A system for detecting electrical arcing on an electrical power system includes: a) a data acquisition unit that is electrically connected to an electrical power system, wherein the data acquisition unit is configured to monitor signals indicative of a first periodic property of the electrical power system, wherein the signal includes a normal load component; and b) a computing device operably connected to the data acquisition unit. The computing device is programmed to: i) obtain first data from the data acquisition unit indicative of the temporal behavior of the first signal; ii) remove the normal load component from the first data; and iii) determine that an arcing event is present on the electrical power system when the at least one burst within the first data presents a generally sinusoidal shape which includes generally flat regions which are present where the generally sinusoidal shape crosses over a zero-magnitude line.U