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The multiple alignment serves as an entry to further analyses and several processing steps are required to filter the data, particularly the removal of low-quality regions.
Because the periodicity of the alpha helix should no longer be detectable, this alignment served as a negative control.
Their inclusion in the Viterbi alignments serves as a quality control.
The multiple sequence alignment served as an input file for the software package HMMER (Version 2.3.2; http://hmmer.wustl.edu) to construct and calibrate a model for β-defensins using the tools HMMBUILD and HMMCALIBRATE, respectively.
The vertebrate alignments served as a source for orthologous tRNAs and neutrally evolving sequences.
The five protein sequences were aligned with MAFFT as described above and the alignment served as input for a Bayesian tree search with BEAST.
The simulated and real reads were aligned to the reference genome using TopHat2 [ 23], and the resulting alignment served as evidence for hybrid and evidence based gene prediction.
The multiple alignment served as input for generating profiles using hmmbuild of HMMER version 2.3.2, 2003 package [ 18].
This alignment served as input for HMMaccel, which was used to iteratively search the above mentioned plant databases with a combination of PSI-BLAST and HMMer to detect further homologs.
The probability of finding in random networks two nodes with the same or higher interaction overlap as a given alignment is estimated, and serves as a p-value for the corresponding alignment [See Additional file 1 for details.] We use an iterative algorithm as described in [ 7] to find the high-scoring graph alignments.
In the course of the alignment procedure, the target signal serves as a template for matching chromatographic peaks of every signal from the whole set [ 19].
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