東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

An integrative computational analysi...

Halees, Anason Shokry.

FindBook

Google Book

Amazon

博客來

An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls./
作者:	Halees, Anason Shokry.
面頁冊數:	169 p.
附註:	Adviser: Zhiping Weng.
Contained By:	Dissertation Abstracts International67-11B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3240624
ISBN:	9780542960871

An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls.
Halees, Anason Shokry.

An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls. - 169 p.

Adviser: Zhiping Weng.

Thesis (Ph.D.)--Boston University, 2007.

The sequence of the human genome, once viewed as an insurmountable objective, is seen today as a mere starting point for a number of even more challenging goals. Of these, understanding the mechanisms of gene expression regulation is a top ranking goal. It is becoming increasingly apparent that progress towards these goals will come not only from the plentiful genome wide experimental data sets, but also from an integrative analysis of the data capable of connecting, in a meaningful way, the contrasting aspects assayed in these sets.

ISBN: 9780542960871Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls.
LDR:03197nam 2200325 a 45 001 974363
005 20110929
008 110929s2007 eng d
020 $a 9780542960871
035 $a (UMI)AAI3240624
035 $a AAI3240624
040 $a UMI $c UMI
100 1 $a Halees, Anason Shokry. $3 1298300
245 1 3 $a An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls.
300 $a 169 p.
500 $a Adviser: Zhiping Weng.
500 $a Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6145.
502 $a Thesis (Ph.D.)--Boston University, 2007.
520 $a The sequence of the human genome, once viewed as an insurmountable objective, is seen today as a mere starting point for a number of even more challenging goals. Of these, understanding the mechanisms of gene expression regulation is a top ranking goal. It is becoming increasingly apparent that progress towards these goals will come not only from the plentiful genome wide experimental data sets, but also from an integrative analysis of the data capable of connecting, in a meaningful way, the contrasting aspects assayed in these sets.
520 $a In this work, I describe a number of such integrative methods, employed to advance our understanding of some aspects of the human transcriptome, and describe the results obtained from their application. The foundations are laid in chapter 2 which describes PromoSer, a tool that maps the full repertoire of publicly accessible transcripts onto the human, mouse and rat genomes. This mapping reveals a complex network of highly overlapping, interconnected, and extended length loci that get transcribed in a non-trivial way to produce a variety of products far exceeding the loci harboring them.
520 $a One of the most salient features of gene organization in all eukaryotes is the exon-intron structure, which implies that transcripts of similar length can have widely varying spans on the genome. In chapter 3, the possible effect of an extended span on the average expression level of a transcript is explored and is surprisingly found to be minimal. Another central feature of any transcript is its site of its initiation, believed to be proximal to many of the more influential elements regulating its expression. The important problem of transcription start site identification is described in chapter 4.
520 $a I next discuss various methods used to analyze a large collection of experimental data generated by the ENCODE consortium, the predictions made based on these data and the validation of these predictions. The important mechanism of RNA editing is discussed next and methods used to identify potential sites based on a large experimental data set are described. Lastly, a collection of related algorithms I designed and implemented are discussed in the appendices.
590 $a School code: 0017.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Biology, Molecular. $3 1017719
690 $a 0307
690 $a 0308
690 $a 0715
710 2 0 $a Boston University. $3 1017454
773 0 $t Dissertation Abstracts International $g 67-11B.
790 $a 0017
790 1 0 $a Weng, Zhiping, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3240624