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Clearly the use of sequence homology to screen the genome for known sequences is useful.
However, use of sequence data for cell formation has been a least researched area.
SiteHopper provides a powerful alternative method to the traditional use of sequence alignment for this purpose.
The use of sequence inversions allows all 16 possible logic gates for two inputs to be realized in bacterial cells.
Additionally, we have recently established the use of sequence motifs as features enabling the detection of pre-miRNAs [21, 22].
This study necessitated the use of sequence stratigraphic framework for the purpose of establishing chronostratigraphic concept and facies prediction.
ConCavity can be run in two modes depending on whether it makes use of sequence conservation information or not.
The proposed analysis is based on the combined use of Sequence diagrams and State machines because of the consistency between these two types of UML diagrams.
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This method relies on the use of sequence-specific endonucleases such as homing endonucleases.
Analysis of these comprehensive specificity profiles is facilitated through the use of sequence-specificity landscapes (SSLs).
Such control is now within reach owing to recent advances in the use of sequence-specific nucleases to precisely engineer genomes.
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