Introduction to Computational Molecular Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Introduction to Computational Molecular Biology

简体网页||繁体网页
Carlos Setubal 作者
PWS Publishing
译者
1997-01-16 出版日期
320 页数
USD 145.95 价格
Hardcover
丛书系列
9780534952624 图书编码

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Introduction to Computational Molecular Biology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Computational Molecular Biology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Computational Molecular Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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项目需要,阅读了chapter 3 Sequence Comparison, 3.2 Comparing Two Sequences,标注一下

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项目需要,阅读了chapter 3 Sequence Comparison, 3.2 Comparing Two Sequences,标注一下

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项目需要,阅读了chapter 3 Sequence Comparison, 3.2 Comparing Two Sequences,标注一下

评分

项目需要,阅读了chapter 3 Sequence Comparison, 3.2 Comparing Two Sequences,标注一下

评分

项目需要,阅读了chapter 3 Sequence Comparison, 3.2 Comparing Two Sequences,标注一下

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Introduction to Computational Molecular Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Introduction to Computational Molecular Biology 在线电子书 图书描述

Until now, those interested in the emerging field of computational molecular biology have used surveys and technical articles collected from many sources. Introduction to Computational Molecular Biology brings together major results in the field, in coherent and readable format. Setubal and Meidanis present a representative sample of problems in molecular biology, focusing on the algorithms that have been proposed to solve them. Readers will find background material on molecular biology, definitions of key terms, descriptions of models, and a full sample of algorithmic results. Key theoretical computer science concepts are emphasized, such as the improvement in asymtotic running time with better algorithms, the contrast between heuristics and an algorithm with guarantees, and the difficulty posed by NP-complete problems. Algorithms for sequence comparison, including the popular BLAST and FAST programs, are covered. Introduction to Computational Molecular Biology serves readers from both the mathematical and computing sciences as well as molecular biology. The authors assume a basic chemistry background and some training in college-level discrete mathematics and algorithms.

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