蘭科是全球物種最多的被子植物之一，具有重要的觀賞價值。考慮到蘭花對人類的重要性，獲得有用的基因組和轉錄組信息對於蘭花在基礎研究及育種應用非常重要。於過去幾年，國立成功大學熱帶植物與微生物科學研究所成功完成三種蘭花的全基因組解序，其分別為蝴蝶蘭(Phalaenopsis equestris)、鐵皮石斛(Dendrobium catenatum)以及深圳擬蘭(Apostasia shenzhenica)。為了管理並使用龐大的蘭花基因組資訊，整合解序後的資料並組成了一個網頁資料庫OrchidBase，可供蘭花學者於線上查詢有關解序後的資料。現在OrchidBase資料庫的功能大部分的功能都是單種物種的基因體資料相關分析，對於物種之間的分析並不完整。所以為了提高OrchidBase基因庫的資訊量及功能性，故進行了本次的研究，希望為研究人員更有效率使用蘭花基因資訊。
本研究主要分成三個部份，第一部份為miRNA的研究。利用miRLocator鑑定成熟miRNA的資訊及TAPIR預測miRNA的標靶基因，並產生頁面提供給使用者瀏覽及搜尋。第二部份為利用Mcscan進行配對及計算，鑑定蘭科植物基因組之間共線性（Synteny）區域，提供蘭科植物基因組結構之比較及演化過程中基因組的變化。第三部分則提供特定基因於基因組中與鄰近基因之排列順序關係(gene order)。利用演算方法對比基因資訊及視覺化基因排序，方便研究者研究特定基因在不同物種的演化過程中，在基因組中相對位置資訊之比較。

Orchidaceae are the largest families of flowering plants and most important ornamental plants. Considering the importance of Orchidaceae, research in Orchidaceae and breeding communities should have access to useful genomic and transcriptomic information. Recently, National Cheng Kung University have sequenced the whole genome of Phalaenopsis equestris, Dendrobium catenatum and Apostasia shenzhenica. For the convenience of further research, OrchidBase was established by collecting all the information of the sequenced data into a database.
This study is divided into three part. The first part is about miRNA target prediction. Using the machine learning method, we can predict the position of mature miRNA. Then we use TAPIR algorithm to predict the target of miRNA. To increase the reliable of research result, we use a lot of characteristic of miRNA. The second part is synteny viewer. We defined the synteny blocks by the definition in previous paper and visualize the data by web tools. User can simulate the experiment by using our tools to reduce the cost of the actual experiment. Final part is gene order viewer. Using the algorithm to compare different sequences and the features of gene duplicate, visualize the gene sequences and convent the researchers to study the evolution of different genes.

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