Repetitive Structures In Biological Sequences Algorithms And Applications

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Repetitive Structures in Biological Sequences: Algorithms and Applications

Repetitive Structures in Biological Sequences: Algorithms and Applications
Author :
Publisher : Frontiers Media SA
Total Pages : 95
Release :
ISBN-10 : 9782889450183
ISBN-13 : 288945018X
Rating : 4/5 (18X Downloads)

Book Synopsis Repetitive Structures in Biological Sequences: Algorithms and Applications by : Marco Pellegrini

Download or read book Repetitive Structures in Biological Sequences: Algorithms and Applications written by Marco Pellegrini and published by Frontiers Media SA. This book was released on 2016-10-27 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Repetitive structures in biological sequences are emerging as an active focus of research and the unifying concept of "repeatome" (the ensemble of knowledge associated with repeating structures in genomic/proteomic sequences) has been recently proposed in order to highlight several converging trends. One main trend is the ongoing discovery that genomic repetitions are linked to many biological significant events and functions. Diseases (e.g. Huntington's disease) have been causally linked with abnormal expansion of certain repeating sequences in the human genome. Deletions or multiple copy duplications of genes (Copy Number Variations) are important in the aetiology of cancer, Alzheimer, and Parkinson diseases. A second converging trend has been the emergence of many different models and algorithms for detecting non-obvious repeating patterns in strings with applications to in genomic data. Borrowing methodologies from combinatorial pattern, matching, string algorithms, data structures, data mining and machine learning these new approaches break the limitations of the current approaches and offer a new way to design better trans-disciplinary research. The articles collected in this book provides a glance into the rich emerging area of repeatome research, addressing some of its pressing challenges. We believe that these contributions are valuable resources for repeatome research and will stimulate further research from bioinformatic, statistical, and biological points of view.


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