Download PDF by Kayhan Erciyes: Distributed and Sequential Algorithms for Bioinformatics

By Kayhan Erciyes

ISBN-10: 3319249649

ISBN-13: 9783319249643

ISBN-10: 3319249665

ISBN-13: 9783319249667

This certain textbook/reference offers unified insurance of bioinformatics subject matters in terms of either organic sequences and organic networks, offering an in-depth research of state of the art allotted algorithms, in addition to of proper sequential algorithms. as well as introducing the most recent algorithms during this sector, greater than fifteen new allotted algorithms also are proposed. issues and contours: experiences a number open demanding situations in organic sequences and networks; describes intimately either sequential and parallel/distributed algorithms for every challenge; indicates techniques for dispensed algorithms as attainable extensions to sequential algorithms, whilst the disbursed algorithms for the subject are scarce; proposes a few new dispensed algorithms in each one bankruptcy, to function strength beginning issues for extra learn; concludes every one bankruptcy with self-test routines, a precis of the foremost issues, a comparability of the algorithms defined, and a literature review.

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The protein also has a 3D structure called tertiary structure which affects its functionality and several protein molecules are arranged in quaternary structure. The function of a protein is determined by its four layer structure. A protein has the ability to fold in 3D and its shape formed as such affects its function. Using its 3D shape, it can bind to certain molecules and interact. For example, mad cow disease is believed to be caused by the wrong folding of a protein. For this reason, predicting the folding structure of a protein from its primary sequence and finding the relationship between its 3D structure and its functionality has become one of the main research areas in bioinformatics.

The array is divided into two parts, each part is sorted recursively and the sorted smaller arrays are merged into a larger sorted array. Merging is the key operation in this algorithm and when merging two smaller sorted arrays, the larger array is formed by finding the smallest value found in both smaller arrays iteratively. For example, merging the two sorted arrays {2, 8, 10, 12} and {1, 4, 6, 9} results in {1, 2, 4, 6, 8, 9, 10, 12}. The dynamic programming method and the graph algorithms have important applications in bioinformatics and they are described next.

This would mean checking whether a certificate C is an independent set in G which is equivalent to checking whether C is a clique in G. Clearly, the transformation from G to G can be performed in polynomial time and therefore IND is reducable to CLIQUE which is stated as IND ≤ CLIQUE. 12 illustrates reduction from an independent set to a clique. 4 NP-Completeness (a) 45 (b) Fig. 12 Reduction from independent set to clique. a An independent set of a graph G. 2 Coping with NP-Completeness Determining that a problem is NP-Complete has certain implications.

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Distributed and Sequential Algorithms for Bioinformatics by Kayhan Erciyes


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