| 書目名稱 | High Performance Computational Methods for Biological Sequence Analysis |
| 編輯 | Tieng K. Yap,Ophir Frieder,Robert L. Martino |
| 視頻video | http://file.papertrans.cn/427/426282/426282.mp4 |
| 圖書封面 |  |
| 描述 | .High Performance Computational Methods for BiologicalSequence. .Analysis. presents biological sequence analysis usingan interdisciplinary approach that integrates biological, mathematicaland computational concepts. These concepts are presented so thatcomputer scientists and biomedical scientists can obtain the necessarybackground for developing better algorithms and applying parallelcomputational methods. This book will enable both groups to developthe depth of knowledge needed to work in this interdisciplinary field..This work focuses on high performance computational approaches thatare used to perform computationally intensive biological sequenceanalysis tasks: pairwise sequence comparison, multiple sequencealignment, and sequence similarity searching in large databases. Thesecomputational methods are becoming increasingly important to themolecular biology community allowing researchers to explore theincreasingly large amounts of sequence data generated by the HumanGenome Project and other related biological projects. The approachespresented by the authors are state-of-the-art and show how to reduceanalysis times significantly, sometimes from days to minutes. ..High Performance |
| 出版日期 | Book 1996 |
| 關(guān)鍵詞 | algorithms; biology; databases; genome; molecular biology; processor; sequence analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-1391-5 |
| isbn_softcover | 978-1-4612-8602-8 |
| isbn_ebook | 978-1-4613-1391-5 |
| copyright | Springer Science+Business Media New York 1996 |
|Archiver|手機(jī)版|小黑屋|
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