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dc.contributor.author黃群翔en_US
dc.contributor.authorChun-Hsiang Huangen_US
dc.contributor.author盧錦隆en_US
dc.contributor.authorChin Lung Luen_US
dc.date.accessioned2014-12-12T02:49:32Z-
dc.date.available2014-12-12T02:49:32Z-
dc.date.issued2004en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009251515en_US
dc.identifier.urihttp://hdl.handle.net/11536/77497-
dc.description.abstract已知在所有種類的核糖核酸序列中幾乎皆可找到所謂的偽結,在生物反應的過程中,這些偽結被認為扮演著重要功能性的角色。除此之外,目前大多數的核糖核酸偽結皆屬於 H 型。因此,偵測這些 H 型的偽結將有助於我們瞭解核糖核酸的結構及相關的功能。然而,現有的程式對於這種 H 型偽結的偵測仍然是相當費時,甚至有些時候其偵測出來的偽結是不正確的。因此,發展一個有效率且準確度高的工具來偵測 H 型的核糖核酸偽結是件值得研究的課題。在本論文中, 我們提出了一個啟發式的策略,並且根據這個策略發展出一個全新的工具 HPknotter 來正確而且有效率地偵測核糖核酸序列中的 H 型偽結。除此之外,我們也利用一些已知具有 H 型偽結的核糖核酸序列來測試並證明 HPknotter 的適用性及準確度。zh_TW
dc.description.abstractRNA H-type pseudoknots are ubiquitous pseudoknots that are known to be found in almost all classes of RNA sequences and thought to play a functionally important role in variety of biological processes. Hence, detecting these RNA H-type pseudoknots will enhance our understanding of RNA structures and their associated functions. However, the currently existing programs for detecting such RNA H-type pseudoknots are still time-consuming and sometimes even ineffective. Therefore, efficient and effective tools for detecting the RNA H-type pseudoknots are needed. In this thesis, we propose a heuristic approach to develop a novel tool, called HPknotter, for accurately and efficiently detecting RNA H-type pseudoknots in a given RNA sequence. In addition, we demonstrate the applicability and effectiveness of our HPknotter by testing it on several RNA sequences with known H-type pseudoknots.en_US
dc.language.isoen_USen_US
dc.subject生物資訊zh_TW
dc.subject計算生物學zh_TW
dc.subject核糖核酸zh_TW
dc.subjectH 型偽結zh_TW
dc.subject啟發式策略zh_TW
dc.subjectBioinoformaticsen_US
dc.subjectComputational Biologyen_US
dc.subjectRNAen_US
dc.subjectH-type Pseudoknoten_US
dc.subjectHeuristic Approachen_US
dc.title偵測核糖核酸 H 型偽結之研究zh_TW
dc.titleA Study of Detecting RNA H-type Pseudoknotsen_US
dc.typeThesisen_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
Appears in Collections:Thesis


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