| 書目名稱 | High-Performance Computational Solutions in Protein Bioinformatics |
| 編輯 | Dariusz Mrozek |
| 視頻video | http://file.papertrans.cn/427/426645/426645.mp4 |
| 概述 | Highlights the potential of new computational technologies in protein bioinformatics.Presents a focus on protein structure, which remains poorly understood and is not effectively used in medicine.Desc |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases. |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Amino Acid Sequence; Bioinformatics; Cloud Computing; GPU, CUDA; Multi-Agent Systems; Multithreaded Proce |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-06971-5 |
| isbn_softcover | 978-3-319-06970-8 |
| isbn_ebook | 978-3-319-06971-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2014 |
|Archiver|手機(jī)版|小黑屋|
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