語系:
繁體中文
English
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
The viral genomics revolution: Big d...
~
Schobel, Seth Adam Micah.
FindBook
Google Book
Amazon
博客來
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development./
作者:
Schobel, Seth Adam Micah.
面頁冊數:
208 p.
附註:
Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.
Contained By:
Dissertation Abstracts International77-07B(E).
標題:
Bioinformatics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10011480
ISBN:
9781339472928
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development.
Schobel, Seth Adam Micah.
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development.
- 208 p.
Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.
Thesis (Ph.D.)--University of Maryland, College Park, 2015.
Since the decoding of the first RNA virus in 1976, the field of viral genomics has exploded, first through the use of Sanger sequencing technologies and later with the use next-generation sequencing approaches. With the development of these sequencing technologies, viral genomics has entered an era of big data. New challenges for analyzing these data are now apparent. Here, we describe novel methods to extend the current capabilities of viral comparative genomics. Through the use of antigenic distancing techniques, we have examined the relationship between the antigenic phenotype and the genetic content of influenza virus to establish a more systematic approach to viral surveillance and vaccine selection. Distancing of Antigenicity by Sequence-based Hierarchical Clustering (DASH) was developed and used to perform a retrospective analysis of 22 influenza seasons. Our methods produced vaccine candidates identical to or with a high concordance of antigenic similarity with those selected by the WHO. In a second effort, we have developed VirComp and OrionPlot: two independent yet related tools. These tools first generate gene-based genome constellations, or genotypes, of viral genomes, and second create visualizations of the resultant genome constellations. VirComp utilizes sequence-clustering techniques to infer genome constellations and prepares genome constellation data matrices for visualization with OrionPlot. OrionPlot is a java application for tailoring genome constellation figures for publication. OrionPlot allows for color selection of gene cluster assignments, customized box sizes to enable the visualization of gene comparisons based on sequence length, and label coloring. We have provided five analyses designed as vignettes to illustrate the utility of our tools for performing viral comparative genomic analyses. Study three focused on the analysis of respiratory syncytial virus (RSV) genomes circulating during the 2012- 2013 RSV season. We discovered a correlation between a recent tandem duplication within the G gene of RSV-A and a decrease in severity of infection. Our data suggests that this duplication is associated with a higher infection rate in female infants than is generally observed. Through these studies, we have extended the state of the art of genotype analysis, phenotype/genotype studies and established correlations between clinical metadata and RSV sequence data.
ISBN: 9781339472928Subjects--Topical Terms:
553671
Bioinformatics.
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development.
LDR
:03377nmm a2200289 4500
001
2079106
005
20161210083228.5
008
170521s2015 ||||||||||||||||| ||eng d
020
$a
9781339472928
035
$a
(MiAaPQ)AAI10011480
035
$a
AAI10011480
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Schobel, Seth Adam Micah.
$3
3194758
245
1 4
$a
The viral genomics revolution: Big data approaches to basic viral research, surveillance, and vaccine development.
300
$a
208 p.
500
$a
Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.
500
$a
Adviser: Michael P. Cummings.
502
$a
Thesis (Ph.D.)--University of Maryland, College Park, 2015.
520
$a
Since the decoding of the first RNA virus in 1976, the field of viral genomics has exploded, first through the use of Sanger sequencing technologies and later with the use next-generation sequencing approaches. With the development of these sequencing technologies, viral genomics has entered an era of big data. New challenges for analyzing these data are now apparent. Here, we describe novel methods to extend the current capabilities of viral comparative genomics. Through the use of antigenic distancing techniques, we have examined the relationship between the antigenic phenotype and the genetic content of influenza virus to establish a more systematic approach to viral surveillance and vaccine selection. Distancing of Antigenicity by Sequence-based Hierarchical Clustering (DASH) was developed and used to perform a retrospective analysis of 22 influenza seasons. Our methods produced vaccine candidates identical to or with a high concordance of antigenic similarity with those selected by the WHO. In a second effort, we have developed VirComp and OrionPlot: two independent yet related tools. These tools first generate gene-based genome constellations, or genotypes, of viral genomes, and second create visualizations of the resultant genome constellations. VirComp utilizes sequence-clustering techniques to infer genome constellations and prepares genome constellation data matrices for visualization with OrionPlot. OrionPlot is a java application for tailoring genome constellation figures for publication. OrionPlot allows for color selection of gene cluster assignments, customized box sizes to enable the visualization of gene comparisons based on sequence length, and label coloring. We have provided five analyses designed as vignettes to illustrate the utility of our tools for performing viral comparative genomic analyses. Study three focused on the analysis of respiratory syncytial virus (RSV) genomes circulating during the 2012- 2013 RSV season. We discovered a correlation between a recent tandem duplication within the G gene of RSV-A and a decrease in severity of infection. Our data suggests that this duplication is associated with a higher infection rate in female infants than is generally observed. Through these studies, we have extended the state of the art of genotype analysis, phenotype/genotype studies and established correlations between clinical metadata and RSV sequence data.
590
$a
School code: 0117.
650
4
$a
Bioinformatics.
$3
553671
650
4
$a
Virology.
$3
642304
650
4
$a
Biology.
$3
522710
690
$a
0715
690
$a
0720
690
$a
0306
710
2
$a
University of Maryland, College Park.
$b
Environmental Sciences.
$3
3194759
773
0
$t
Dissertation Abstracts International
$g
77-07B(E).
790
$a
0117
791
$a
Ph.D.
792
$a
2015
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10011480
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9311984
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入