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The percent amino acid sequence divergence was calculated from the output of the paired alignment.
Both sequences were extracted using an ad hoc Perl script (homemade) formed for each paired alignment.
We refer to such a multiple sequence alignment of paired sequences as a paired alignment.
Novoalign (www.novocraft.com) computes a similar mapping quality for each paired alignment, but it relies on the user to provide the fragment size distribution.
The paired alignment is then filtered to reduce redundancy to 90% sequence identity and to remove positions that have more than 75% gaps.
For each such paired alignment, we built a GREMLIN global statistical model, computed normalized coupling strengths from the two body coupling parameters, and ranked inter protein residue pairs based on these scores ('Materials and methods').
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Both sets of paired alignments had no gaps.
A mixed model was used, which allowed unpaired alignments when paired alignments were not possible.
Scores of paired alignments were compared to scores and standard deviation for 50 randomized sequences with base composition-preserved.
The placements were checked using paired alignments to the sequenced maize BACs, generated as described above but screened with more relaxed standards, not requiring the paired end alignments to come from a single segment or to have the same orientation.
For paired-end reads, we set the maximum fragment size at 1000 (-X 1000) and used the -y option to maximize Bowtie's sensitivity to find paired alignments.
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