تحميل كتاب Algorithms in computational biology Aarhus PDF
نبذة عن كتاب Algorithms in computational biology Aarhus
كتاب Algorithms in computational biology Aarhus
2000م - 1443هـ نبذه عن الكتاب: In this thesis we are concerned with constructing algorithms that address problems of biological relevance. This activity is part of a broader interdisciplinary area called computational biology, or bioinformatics, that focuses on utilizing the capacities of computers to gain knowledge from biological data. The majority of problems in computational biology relate to molecular or evolutionary biology, and focus on analyzing and comparing the genetic material of organisms. One deciding factor in shaping the area of computational biology is that DNA, RNA and proteins that are responsible for storing and utilizing the genetic material in an organism, can be described as strings over finite alphabets. The string representation of biomolecules allows for a wide range of algorithmic techniques concerned with strings to be applied for analyzing and comparing biological data. We contribute to the field of computational biology by constructing and analyzing algorithms that address problems of relevance to biological sequence analysis and structure prediction. The genetic material of organisms evolves by discrete mutations, most prominently substitutions, insertions and deletions of nucleotides. Since the genetic material is stored in DNA sequences and reflected in RNA and protein sequences, it makes sense to compare two or more biological sequences to look for similarities and differences that can be used to infer the relatedness of the sequences. In the thesis we consider the problem of comparing two sequences of coding DNA when the relationship between DNA and proteins is taken into account. We do this by using a model that penalizes an event on the DNA by the change it induces on the encoded protein. We analyze the model in detail, and construct an alignment algorithm that improves on the existing best alignment algorithm in the model by reducing its running time by a quadratic factor. This makes the running time of our alignment algorithm equal to the running time of alignment algorithms based on much simpler models. .هذا الكتاب من تأليف غير معروف و حقوق الكتاب محفوظة لصاحبها
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