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Next, to help with indel identification later in the pipeline, read realignment was performed around indels.
The realignment was performed using ELAND with 2 errors allowed in the first 32 bases of a read.
Consequently, realignment was performed by best-fit of the embryonic contours and corrections were made following the suggestions provided by Süss et al. (2002).
Base qualities were empirically recalibrated and indel realignment was performed jointly across all samples using the Genome Analysis Tool Kit (GATK) v1.6 [ 25].
After the elimination of duplicate reads, candidate regions were extracted and local realignment was performed with the Genome Analysis Toolkit (GATK v1.6-13) [ 48].
Read realignment was performed around candidate indels identified during the run, and SNPs and indels in dbSNP137 that were located in the regions covered by the HaloPlex design.
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Base quality score recalibration and local realignment were performed using the Genome Analysis Toolkit.
Prism adaptation and confirmation of sensorimotor realignment were performed using a similar procedure as that used for prism adaptation treatment of hemispatial neglect.
Local realignments were performed using MUSCLE [28] implemented within the Seaview v3 alignment program [29], followed by further manual refinement in Seaview.
Then, slice timing and realignments were performed on the remaining 240 measures.
In the best-first approach, the realignments are performed for all of the possible 2 N − 3 divisions on the tree, and then the alignment with the highest objective score is selected, where N is the number of sequences.
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