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The alignment was sorted with SAMtools (v0.1.19-44428cd) [ 42] and the duplicates were marked with Picard using default parameters (v1.106), resulting in a mean coverage of 93X.
Each alignment was sorted and indexed to create a multiple sequence alignment (MSA) using SAMTools [ 29].
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The counts for each alignment were sorted into a 20×20 matrix.
Using the sequence from Bos taurus as reference and the crystal structure of bovine COX Protein Data Bankk, PDB, 2OCC), each codon position from the above described alignments was sorted into different subsets according to the algorithm sketched in figure 1.
Alignments were sorted according to score, and a transcript was reconstructed by fusing two partner sequences which are defined by the query regions of the two best alignments.
The alignments were sorted using MosaikSort.
Pairwise alignments were sorted into similarity groups based on e-value.
Bowtie alignments are sorted by reference sequence name and then by coordinates to enable fast lookup of the reads.
Sequence alignments were sorted into similarity groupings (H, M, W, or L) as described above in order to identify affirmative pairwise alignments.
The top BLAST alignments were sorted by the average of their locations, and their frequencies were calculated in 1 Mbp bins and plotted along all of the chromosomes for both G. gallus and T. guttata genomes using Circos [ 7].
All DNA sequence data were aligned to the B. taurus version 4.0 (Btau_4.0) reference genome using the Burrows-Wheeler Aligner (BWA) program version 0.5.9 [ 25] and the alignments were sorted and filtered for possible PCR and optical duplicates using Samtools version 0.1.17 [ 26].
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