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蛋白質(zhì)網(wǎng)絡與途徑分析(導讀版) 版權信息
- ISBN：9787030359285
- 條形碼：9787030359285 ; 978-7-03-035928-5
- 裝幀：暫無
- 冊數(shù)：暫無
- 重量：暫無
- 所屬分類：>>
蛋白質(zhì)網(wǎng)絡與途徑分析(導讀版) 內(nèi)容簡介
隨著生命科學進入“組學”發(fā)展的新紀元，科學研究開始趨向?qū)碗s的基因組水平的分析進行簡化，以理解隱藏于繁冗數(shù)據(jù)之下的生物學本質(zhì)。在本書中，經(jīng)驗豐富的專家們提供了一系列功能數(shù)據(jù)分析的方法，也就是人們通常說的“系統(tǒng)生物學”，及其在藥物研發(fā)、醫(yī)學和基礎疾病研究中的應用。本書分為三個部分，包括對蛋白質(zhì)的闡述，化合物與基因互作，網(wǎng)絡、互作及本體的分析工具，以及功能分析的應用。作為《分子生物學方法》系列叢書的一卷，本書內(nèi)容充實，提供了易于操作的實驗方案和建議。本書專業(yè)非常不錯、信息前沿，既介紹了生物技術實驗室的實驗方法，也介紹了計算工具，從而涵蓋這一新興領域的多個方面。
蛋白質(zhì)網(wǎng)絡與途徑分析(導讀版) 目錄
目錄
前言 v
撰稿人 ix
**部分：相互作用
1. 用Linguamatics公司研發(fā)的I2E軟件從發(fā)表的文獻中挖掘蛋白質(zhì)相互作用 3
JudithBandy，DavidMilward，andSarahMcQuay
2. 基因組規(guī)模實驗中轉錄因子與DNA結合的相對親和力、特異性和敏感度 15
VladimirA.Kuznetsov
3. 抑制因子-靶標數(shù)據(jù)的管理：步驟和在途徑分析上的作用 51
SreenivasDevidas
4. 用功能蛋白質(zhì)芯片描繪蛋白質(zhì)相互作用網(wǎng)絡 63
DawnR.MattoonandBarrySchweitzer
5. 蛋白質(zhì)相互作用的手工注釋 75
SvetlanaBureeva，SvetlanaZvereva，ValentinRomanov，and TatianaSerebryiskaya
第二部分：分析
6. 基因集富集分析 99
CharlesA.TilfordandNathanO.Siemers
7. PANTHER途徑：一個整合了數(shù)據(jù)分析工具且基于本體的途徑數(shù)據(jù)庫 123
HuaiyuMiandPaulThomas
8. 采用網(wǎng)絡分析優(yōu)化排序影響途徑的基因 141
AaronN.Chang
9. 從多樣的功能基因組數(shù)據(jù)中發(fā)掘生物學網(wǎng)絡 157
ChadL.Myers，CameliaChiriac，andOlgaG.Troyanskaya
10. 在基于知識的集成平臺上對組學數(shù)據(jù)及小分子化合物的函數(shù)分析 177
YuriNikolsky，EugeneKirillov，RomanZuev，EugeneRakhmatulin，and TatianaNikolskaya
11. 動力學模型作為一種整合多層次動態(tài)實驗數(shù)據(jù)的工具 197
Ekaterina Mogilevskaya，Natalia Bagrova，Tatiana Plyusnina，Nail Gizzatkulov，Eugeniy Metelkin，EkaterinaGoryacheva，SergeySmirnov，YuriyKosinsky，AleksanderDorodnov，KirillPeskov，TatianaKarelina，IgorGoryanin，andOlegDemin
12. Cytoscape：用于網(wǎng)絡建模的一個基于社區(qū)的框架 219
SarahKillcoyne，GregoryW.Carter，JenniferSmith，andJohnBoyle
13. 用語義數(shù)據(jù)集成和知識管理表示生物網(wǎng)絡相關性 241
SaschaLoskoandKlausHeumann
14. 復雜的、多數(shù)據(jù)類型及多工具分析的解決方案：運用工作流程與流水線方法的 原則及應用 259
RobinE.J.MunroandYikeGuo
第三部分：應用
15. 高通量siRNA篩選結合化合物篩選作為一種干擾生物系統(tǒng)以及識別目標途徑的方法 275
JeffKiefer，HongweiH.Yin，QiangQ.Que，andSpyroMousses
16. 用高密度等位基因關聯(lián)數(shù)據(jù)進行途徑和網(wǎng)絡的分析 289
AliTorkamaniandNicholasJ.Schork
17. miRNAs：從生物起源到網(wǎng)絡 303
GiuseppeRussoandAntonioGiordano
18. MetaMiner(CF)：疾病導向的生物信息學分析環(huán)境 353
JerryM.Wright，YuriNikolsky，TatianaSerebryiskaya，andDianaR.Wetmore
19. 轉化研究與生物醫(yī)學信息學 369
MichaelLiebman
20. ArrayTrack：一個美國食品及藥物管理局(FDA)和公共基因組工具 379
HongFang，StephenC.Harris，ZhenjiangSu，MinjunChen，F(xiàn)eng Qian，Leming Shi，RogerPerkins，andWeidaTong
索引 399
(高友鶴 尹劍銳 譯)
Contents
Preface v
Contributors ix
SECTION I：INTERACTIONS
1. Mining Protein–Protein Interactions from Published Literature Using Linguamatics I2E 3
Judith Bandy，David Milward，and Sarah McQuay
2. Relative Avidity，Specificity，and Sensitivity of Transcription Factor–DNA Binding in Genome-Scale Experiments 15
Vladimir A. Kuznetsov
3. Curation of Inhibitor-Target Data：Process and Impact on Pathway Analysis 51
Sreenivas Devidas
4. Profiling Protein Interaction Networks with Functional Protein Microarrays 63
Dawn R. Mattoon and Barry Schweitzer
5. Manual Annotation of Protein Interactions 75
Svetlana Bureeva，Svetlana Zvereva，Valentin Romanov，and Tatiana Serebryiskaya
SECTION II：ANALYSIS
6. Gene Set Enrichment Analysis 99
Charles A. Tilford and Nathan O. Siemers
7. PANTHER Pathway：An Ontology-Based Pathway Database Coupled with Data Analysis Tools 123
Huaiyu Mi and Paul Thomas
8. Prioritizing Genes for Pathway Impact Using Network Analysis 141
Aaron N. Chang
9. Discovering Biological Networks from Diverse Functional Genomic Data 157
Chad L. Myers，Camelia Chiriac，and Olga G. Troyanskaya
10. Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated “Knowledge-Based” Platform 177
Yuri Nikolsky，Eugene Kirillov，Roman Zuev，Eugene Rakhmatulin，and Tatiana Nikolskaya
11. Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data 197
Ekaterina Mogilevskaya，Natalia Bagrova，Tatiana Plyusnina，Nail Gizzatkulov，Eugeniy Metelkin，Ekaterina Goryacheva，Sergey Smirnov，Yuriy Kosinsky，Aleksander Dorodnov，Kirill Peskov，Tatiana Karelina，Igor Goryanin，and Oleg Demin
12. Cytoscape：A Community-Based Framework for Network Modeling 219
Sarah Killcoyne，Gregory W. Carter，Jennifer Smith，and John Boyle
13. Semantic Data Integration and Knowledge Management to Represent Biological Network Associations 241
Sascha Losko and Klaus Heumann
14. Solutions for Complex，Multi Data Type and Multi Tool Analysis：Principles and Applications of Using Workflow and Pipelining Methods 259
Robin E. J. Munro and Yike Guo
SECTION III：APPLICATIONS
15. High-Throughput siRNA Screening as a Method of Perturbation of Biological Systems and Identification of Targeted Pathways Coupled with Compound Screening 275
Jeff Kiefer，Hongwei H. Yin，Qiang Q. Que，and Spyro Mousses
16. Pathway and Network Analysis with High-Density Allelic Association Data 289
Ali Torkamani and Nicholas J. Schork
17. miRNAs：From Biogenesis to Networks 303
Giuseppe Russo and Antonio Giordano
18. MetaMiner (CF)：A Disease-Oriented Bioinformatics Analysis Environment 353
Jerry M. Wright，Yuri Nikolsky，Tatiana Serebryiskaya，and Diana R. Wetmore
19. Translational Research and Biomedical Informatics 369
Michael Liebman
20. ArrayTrack：An FDA and Public Genomic Tool 379
Hong Fang，Stephen C.Harris，Zhenjiang Su，Minjun Chen，F(xiàn)eng Qian，Leming Shi，Roger Perkins，and Weida Tong
Index 399
前言 v
撰稿人 ix
**部分：相互作用
1. 用Linguamatics公司研發(fā)的I2E軟件從發(fā)表的文獻中挖掘蛋白質(zhì)相互作用 3
JudithBandy，DavidMilward，andSarahMcQuay
2. 基因組規(guī)模實驗中轉錄因子與DNA結合的相對親和力、特異性和敏感度 15
VladimirA.Kuznetsov
3. 抑制因子-靶標數(shù)據(jù)的管理：步驟和在途徑分析上的作用 51
SreenivasDevidas
4. 用功能蛋白質(zhì)芯片描繪蛋白質(zhì)相互作用網(wǎng)絡 63
DawnR.MattoonandBarrySchweitzer
5. 蛋白質(zhì)相互作用的手工注釋 75
SvetlanaBureeva，SvetlanaZvereva，ValentinRomanov，and TatianaSerebryiskaya
第二部分：分析
6. 基因集富集分析 99
CharlesA.TilfordandNathanO.Siemers
7. PANTHER途徑：一個整合了數(shù)據(jù)分析工具且基于本體的途徑數(shù)據(jù)庫 123
HuaiyuMiandPaulThomas
8. 采用網(wǎng)絡分析優(yōu)化排序影響途徑的基因 141
AaronN.Chang
9. 從多樣的功能基因組數(shù)據(jù)中發(fā)掘生物學網(wǎng)絡 157
ChadL.Myers，CameliaChiriac，andOlgaG.Troyanskaya
10. 在基于知識的集成平臺上對組學數(shù)據(jù)及小分子化合物的函數(shù)分析 177
YuriNikolsky，EugeneKirillov，RomanZuev，EugeneRakhmatulin，and TatianaNikolskaya
11. 動力學模型作為一種整合多層次動態(tài)實驗數(shù)據(jù)的工具 197
Ekaterina Mogilevskaya，Natalia Bagrova，Tatiana Plyusnina，Nail Gizzatkulov，Eugeniy Metelkin，EkaterinaGoryacheva，SergeySmirnov，YuriyKosinsky，AleksanderDorodnov，KirillPeskov，TatianaKarelina，IgorGoryanin，andOlegDemin
12. Cytoscape：用于網(wǎng)絡建模的一個基于社區(qū)的框架 219
SarahKillcoyne，GregoryW.Carter，JenniferSmith，andJohnBoyle
13. 用語義數(shù)據(jù)集成和知識管理表示生物網(wǎng)絡相關性 241
SaschaLoskoandKlausHeumann
14. 復雜的、多數(shù)據(jù)類型及多工具分析的解決方案：運用工作流程與流水線方法的 原則及應用 259
RobinE.J.MunroandYikeGuo
第三部分：應用
15. 高通量siRNA篩選結合化合物篩選作為一種干擾生物系統(tǒng)以及識別目標途徑的方法 275
JeffKiefer，HongweiH.Yin，QiangQ.Que，andSpyroMousses
16. 用高密度等位基因關聯(lián)數(shù)據(jù)進行途徑和網(wǎng)絡的分析 289
AliTorkamaniandNicholasJ.Schork
17. miRNAs：從生物起源到網(wǎng)絡 303
GiuseppeRussoandAntonioGiordano
18. MetaMiner(CF)：疾病導向的生物信息學分析環(huán)境 353
JerryM.Wright，YuriNikolsky，TatianaSerebryiskaya，andDianaR.Wetmore
19. 轉化研究與生物醫(yī)學信息學 369
MichaelLiebman
20. ArrayTrack：一個美國食品及藥物管理局(FDA)和公共基因組工具 379
HongFang，StephenC.Harris，ZhenjiangSu，MinjunChen，F(xiàn)eng Qian，Leming Shi，RogerPerkins，andWeidaTong
索引 399
(高友鶴 尹劍銳 譯)
Contents
Preface v
Contributors ix
SECTION I：INTERACTIONS
1. Mining Protein–Protein Interactions from Published Literature Using Linguamatics I2E 3
Judith Bandy，David Milward，and Sarah McQuay
2. Relative Avidity，Specificity，and Sensitivity of Transcription Factor–DNA Binding in Genome-Scale Experiments 15
Vladimir A. Kuznetsov
3. Curation of Inhibitor-Target Data：Process and Impact on Pathway Analysis 51
Sreenivas Devidas
4. Profiling Protein Interaction Networks with Functional Protein Microarrays 63
Dawn R. Mattoon and Barry Schweitzer
5. Manual Annotation of Protein Interactions 75
Svetlana Bureeva，Svetlana Zvereva，Valentin Romanov，and Tatiana Serebryiskaya
SECTION II：ANALYSIS
6. Gene Set Enrichment Analysis 99
Charles A. Tilford and Nathan O. Siemers
7. PANTHER Pathway：An Ontology-Based Pathway Database Coupled with Data Analysis Tools 123
Huaiyu Mi and Paul Thomas
8. Prioritizing Genes for Pathway Impact Using Network Analysis 141
Aaron N. Chang
9. Discovering Biological Networks from Diverse Functional Genomic Data 157
Chad L. Myers，Camelia Chiriac，and Olga G. Troyanskaya
10. Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated “Knowledge-Based” Platform 177
Yuri Nikolsky，Eugene Kirillov，Roman Zuev，Eugene Rakhmatulin，and Tatiana Nikolskaya
11. Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data 197
Ekaterina Mogilevskaya，Natalia Bagrova，Tatiana Plyusnina，Nail Gizzatkulov，Eugeniy Metelkin，Ekaterina Goryacheva，Sergey Smirnov，Yuriy Kosinsky，Aleksander Dorodnov，Kirill Peskov，Tatiana Karelina，Igor Goryanin，and Oleg Demin
12. Cytoscape：A Community-Based Framework for Network Modeling 219
Sarah Killcoyne，Gregory W. Carter，Jennifer Smith，and John Boyle
13. Semantic Data Integration and Knowledge Management to Represent Biological Network Associations 241
Sascha Losko and Klaus Heumann
14. Solutions for Complex，Multi Data Type and Multi Tool Analysis：Principles and Applications of Using Workflow and Pipelining Methods 259
Robin E. J. Munro and Yike Guo
SECTION III：APPLICATIONS
15. High-Throughput siRNA Screening as a Method of Perturbation of Biological Systems and Identification of Targeted Pathways Coupled with Compound Screening 275
Jeff Kiefer，Hongwei H. Yin，Qiang Q. Que，and Spyro Mousses
16. Pathway and Network Analysis with High-Density Allelic Association Data 289
Ali Torkamani and Nicholas J. Schork
17. miRNAs：From Biogenesis to Networks 303
Giuseppe Russo and Antonio Giordano
18. MetaMiner (CF)：A Disease-Oriented Bioinformatics Analysis Environment 353
Jerry M. Wright，Yuri Nikolsky，Tatiana Serebryiskaya，and Diana R. Wetmore
19. Translational Research and Biomedical Informatics 369
Michael Liebman
20. ArrayTrack：An FDA and Public Genomic Tool 379
Hong Fang，Stephen C.Harris，Zhenjiang Su，Minjun Chen，F(xiàn)eng Qian，Leming Shi，Roger Perkins，and Weida Tong
Index 399
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