Sentence examples for generic sequences from inspiring English sources

Primers Used for Generation of C-Terminal GFP Fusion, Gene Deletion Constructs, and Genotype Analysis Generic sequences for KpnI and ApaI restriction sites, used for GFP fusion cloning purposes.

In [26] we studied the asymptotic behavior of (unrestricted) infinite products of generic sequences of mappings belonging to the space (bar{mathcal{M}}_) and obtained convergence to a unique common fixed point.

One drawback would naturally be the necessity to use several generic sequences.

Generic sequences for ApaI/HindIII and EcoRI and XbaI restriction sites, used for gene deletion cloning purposes.

There is a better separation between well-known sites and generic sequences if an extra penalty is added to the score for neighboring base pairs which both differ from the consensus.

The latter is known to be σA (at least along a "generic" sequence of Uk's).

We have designed and expressed a modified form of RD3 that replaces the nine-residue linker with a generic sequence of one serine and eight glycine residues to test the importance of the linker amino acid sequence.

Ultimately, as a practical and realistic extension, we demonstrate that such protein-like sequences can be "plugged-into" routine and generic sequence database searches to empower not only remote homology detection but also fold recognition.

Using a generic sequence tagger, we showed that annotating very few sentences already produces enough correct predictions to be useful, suggesting that interactive annotation is a worthwhile enterprise from the beginning of an annotation project.

Then a generic sequence can be constructed on the form T g = { 1, 2, …, N a ⏟ enable self-localization, …, 1, N a + k, 2, N a + k, … ⏟ k th auxiliary node localized in this batch, … }, where the k th auxiliary node is localized as long as it is interleaved by at least two anchor nodes in its corresponding batch.

To demonstrate the effect of interactive learning on biomedical entity tagging, we used thee BioNLP-NLPBA 2004 corpus and train a classifier using a rather generic sequence tagging system developed for German named entity recognition [41] based on CRF suite [42].