抄録
Analyzing the time-course of several viral infections using mathematical models based on experimental data can provide important quantitative insights regarding infection dynamics. Over the past decade, the importance and significance of mathematical modeling has been gaining recognition among virologists. In the near future, many animal models of human-specific infections and experimental data from high-throughput techniques will become available. This will provide us with the opportunity to develop new quantitative approaches, combining experimental and mathematical analyses. In this paper, we review the various quantitative analyses of viral infections and discuss their possible applications.
| 元の言語 | 英語 |
|---|---|
| ジャーナル | Frontiers in Microbiology |
| 巻 | 4 |
| 発行部数 | SEP |
| DOI | |
| 出版物ステータス | 出版済み - 1 1 2013 |
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All Science Journal Classification (ASJC) codes
- Microbiology
- Microbiology (medical)
これを引用
Quantification of viral infection dynamics in animal experiments. / Iwami, Shingo; Koizumi, Yoshiki; Ikeda, Hiroki; Kakizoe, Yusuke.
：: Frontiers in Microbiology, 巻 4, 番号 SEP, 01.01.2013.研究成果: ジャーナルへの寄稿 › 小調査
}
TY - JOUR
T1 - Quantification of viral infection dynamics in animal experiments
AU - Iwami, Shingo
AU - Koizumi, Yoshiki
AU - Ikeda, Hiroki
AU - Kakizoe, Yusuke
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Analyzing the time-course of several viral infections using mathematical models based on experimental data can provide important quantitative insights regarding infection dynamics. Over the past decade, the importance and significance of mathematical modeling has been gaining recognition among virologists. In the near future, many animal models of human-specific infections and experimental data from high-throughput techniques will become available. This will provide us with the opportunity to develop new quantitative approaches, combining experimental and mathematical analyses. In this paper, we review the various quantitative analyses of viral infections and discuss their possible applications.
AB - Analyzing the time-course of several viral infections using mathematical models based on experimental data can provide important quantitative insights regarding infection dynamics. Over the past decade, the importance and significance of mathematical modeling has been gaining recognition among virologists. In the near future, many animal models of human-specific infections and experimental data from high-throughput techniques will become available. This will provide us with the opportunity to develop new quantitative approaches, combining experimental and mathematical analyses. In this paper, we review the various quantitative analyses of viral infections and discuss their possible applications.
UR - http://www.scopus.com/inward/record.url?scp=84885415639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885415639&partnerID=8YFLogxK
U2 - 10.3389/fmicb.2013.00264
DO - 10.3389/fmicb.2013.00264
M3 - Short survey
AN - SCOPUS:84885415639
VL - 4
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
SN - 1664-302X
IS - SEP
ER -