版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認領
文檔簡介
1、華中科技大學碩士學位論文基于EST全基因組定位的基因結(jié)構(gòu)注釋研究姓名:井輝申請學位級別:碩士專業(yè):生物信息技術(shù)指導教師:周艷紅20070208II Abstract Identification of protein coding genes is a crucial issue of genome research. As genomes of more and more species have been sequenced, th
2、e issue is becoming particularly important. Traditional biological experiments could hardly tackle the whole problem with the explosion of genomic sequences, which makes the high throughput methods of bioinformatics inva
3、luable. An EST (expressed sequence tag) is a partial sequence of a clone picked at random for cDNA library. In theory, an EST contains no introns and represents part of a gene. The amount of ESTs is very large and is gro
4、wing fast. It is an extremely precious resource. Prediction and annotation of protein coding genes using genomically aligned ESTs is a crucial issue. However, this is not a trifle due to the poor quality of EST sequences
5、 and the complexity of genome. Characteristics of EST sequences have been studied at first. Several factors concerning the quality of EST sequences have been investigated, including foreign sequences, genomic DNA sequenc
6、es, chimeric sequences, pre-mRNA sequences, random-primed sequences, internal-primed sequences and so on. Components of the genome have also been studied, such as repeats, pseudo genes, multi-copy genes, overlapping gene
7、s, nested genes and alternative splicing. Based on these analyses, several measures have been brought up according to different cases involved in the alignments between EST sequences and the genome. The annotation proced
8、ures include trimming foreign sequences, locating ESTs on the genome, verifying and testing the alignments, clustering between each other and predicting the final gene structure. At the prediction step, directed acyclic
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 眾賞文庫僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
- 6. 下載文件中如有侵權(quán)或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 玉米全基因組抗病侯選基因的克隆和定位.pdf
- 通過全基因組掃描研究定位小鼠性發(fā)育相關基因.pdf
- 玉米散粉期的基因定位與全基因組選擇研究.pdf
- 全基因組掃描定位銀屑病易感基因.pdf
- 豬全基因組變異位點功能注釋程序開發(fā).pdf
- 真核生物基因組結(jié)構(gòu)自動注釋系統(tǒng)研究.pdf
- 整合功能注釋的全基因組選擇和關聯(lián)分析方法研究.pdf
- 基于秈稻全基因組剖析抗性基因的結(jié)構(gòu)及其分布特點.pdf
- 基因組結(jié)構(gòu)注釋數(shù)據(jù)WEB可視化系統(tǒng)構(gòu)建.pdf
- 鱗翅目昆蟲線粒體全基因組結(jié)構(gòu)特點及其比較基因組學分析.pdf
- 基因和基因組結(jié)構(gòu)分析.pdf
- 結(jié)核分枝桿菌基因組重注釋研究.pdf
- 基于深度學習的基因組功能元件的識別與注釋.pdf
- 基于全基因組關聯(lián)分析(GWAS)的玉米穗部性狀相關基因的初步定位.pdf
- 昆蟲基因組注釋方法改進及兩種昆蟲基因組分析.pdf
- 基因、基因組和基因組學
- 基于全基因組的DNA序列詞語挖掘.pdf
- 低溫真菌線粒體基因組測序及注釋分析.pdf
- 玉米全基因組ARF基因的分析及進化研究.pdf
- 玉米全基因組IQD基因的分析及進化研究.pdf
評論
0/150
提交評論