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Titlebook: Computer Analysis of Sequence Data, Part I; Annette M. Griffin,Hugh G. Griffin Book 1994 Humana Press 1994 Alignment.DNA.DNA sequencing.En

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S. Attal,K. Burdzy,M. Émery,Y. Hung from the pattern matching calculation, a preselection of patterns (“enzymes”) can be achieved with a variety of options. Furthermore, parts of the target sequence can be easily excluded from the calculation.
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Seminaire de Probabilites XXIV 1988/89s is fairly easy to achieve in nucleotide sequences, as described in this chapter. It becomes more difficult when dealing with protein sequences (.. and . and . in Part II). Pattern matching methods are important in many other fields and are not necessarily restricted to enzyme cleavage (.. and . and . in Part II).
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Seminaire de Probabilites XXIV 1988/89used in linear restriction map generation (..) Second, these data are restructured and displayed as graphics. Additional data containing information entered by the user can be added in a third step, and finally, graphics can be tuned to produce publication quality.
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S. Attal,K. Burdzy,M. Émery,Y. Hu“enzymes”). Positive hits are displayed as a function of the sequence coordinate plotted vs the patterns found. In order to view the result with respect to the amino acid sequence (provided that the DNA sequence does have a reading frame), automatic translation can be achieved by using either a stan
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https://doi.org/10.1007/BFb0100839o make the computer do wha researcher wants to do. However, frequently complaints are that an alignment is “bad” or “insufficient” if calculated auto cally. This is because of the fact that the computer does only pair alignments and comparisons, and compiles these results in a se step to produce the
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