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Our sequence analyses on the sequenced clones have yielded 55 miRNAs, representing 17 unique conserved miRNAs already discovered computationally.
Our sequence kernel is based upon generalized linear discriminants.
Our sequence alignment tool StreamAligner resolved these limitations very efficiently.
A phylogenetic tree constructed with different TNFs of fish and mammals grouped our sequence within the fish TNFα cluster.
Bacillus thuringiensis delta-endotoxin nomenclature committee designed our sequence as Cry2Aa18 being a new member of Bt toxins.
Our sequence labelling approach was realised as an application of the machine learning-based conditional random fields algorithm (CRFs).
The projection of the training sequences into the aSpace constitutes the input for our sequence synchronization algorithm.
I think that our sequence turned out really great.
Our sequence data indicate that the poly A- transcripts indeed exist.
However, we were unable to find such a case in our sequence analysis.
A schematic for our sequence analysis workflow is shown in Figure 1.
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