Computational models for extracting structural signals from noisy high-throughput sequencing data: 通过计算模型来提取高通量测序数据中的分子结构信息 / 通过计算模型来提取高通量测序数据中的分子结构信息 / CUHK electronic theses & dissertations collection / Computational models for extracting structural signals from noisy high-throughput sequencing data: Tong guo ji suan mo xing lai ti qu gao tong liang ce xu shu ju zhong de fen zi jie gou xin xi / Tong guo ji suan mo xing lai ti qu gao tong liang ce xu shu ju zhong de fen zi jie gou xin xi

Description

Hu, Xihao. / Thesis Ph.D. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 147-161). / Abstracts also in Chinese. / Title from PDF title page (viewed on 26, October, 2016). / Hu, Xihao.

Links & Downloads

1. cuhk:1291576
2. local: etd920160215
3. local: 991018542719703407
4. local: LB160506155845_1
5. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291576

Tags

Amino acid sequence--Data processing

Sequence Analysis

Automatic Data Processing

Additional Fields

Identifer	oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_1291576
Date	January 2015
Contributors	Hu, Xihao (author.), Yip, Kevin Yuk-Lap (thesis advisor.), Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. (degree granting institution.)
Source Sets	The Chinese University of Hong Kong
Language	English, Chinese
Detected Language	English
Type	Text, bibliography, text
Format	electronic resource], electronic resource, remote, 1 online resource (xx, 171 leaves) : illustrations (some color), computer, online resource
Rights	Use of this resource is governed by the terms and conditions of the Creative Commons "Attribution-NonCommercial-NoDerivatives 4.0 International" License (http://creativecommons.org/licenses/by-nc-nd/4.0/)