Optimal high-throughput screening: practical experimental design and data analysis for genome-scale RNAi research
This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental de...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2011
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| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xviii, 203 pages) |
| ISBN: | 9780511973888 |
| DOI: | 10.1017/CBO9780511973888 |
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| 505 | 8 | |a Machine generated contents note: Part I. RNAi HTS and Data Analysis: 1. Introduction to genome-scale RNAi research; 2. Experimental designs; 3. Data display and normalization; 4. Quality control in genome-scale RNAi screens; 5. Hit selection in genome-scale RNAi screens without replicates; 6. Hit selection in genome-scale RNAi screens with replicates; Part II. Methodological Development for Analyzing RNAi HTS Screens: 7. Statistical methods for group comparison; 8. Statistical methods for assessing the size of siRNA effects | |
| 520 | |a This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments | ||
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| 650 | 4 | |a Small interfering RNA. | |
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| contents | Machine generated contents note: Part I. RNAi HTS and Data Analysis: 1. Introduction to genome-scale RNAi research; 2. Experimental designs; 3. Data display and normalization; 4. Quality control in genome-scale RNAi screens; 5. Hit selection in genome-scale RNAi screens without replicates; 6. Hit selection in genome-scale RNAi screens with replicates; Part II. Methodological Development for Analyzing RNAi HTS Screens: 7. Statistical methods for group comparison; 8. Statistical methods for assessing the size of siRNA effects |
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| dewey-full | 615/.19 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 615 - Pharmacology and therapeutics |
| dewey-raw | 615/.19 |
| dewey-search | 615/.19 |
| dewey-sort | 3615 219 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| doi_str_mv | 10.1017/CBO9780511973888 |
| format | Electronic eBook |
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| isbn | 9780511973888 |
| language | English |
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| spelling | Zhang, Xiaohua Douglas 1966- Verfasser aut Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research Xiaohua Douglas Zhang, Merck Research Laboratories Cambridge Cambridge University Press 2011 1 online resource (xviii, 203 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Part I. RNAi HTS and Data Analysis: 1. Introduction to genome-scale RNAi research; 2. Experimental designs; 3. Data display and normalization; 4. Quality control in genome-scale RNAi screens; 5. Hit selection in genome-scale RNAi screens without replicates; 6. Hit selection in genome-scale RNAi screens with replicates; Part II. Methodological Development for Analyzing RNAi HTS Screens: 7. Statistical methods for group comparison; 8. Statistical methods for assessing the size of siRNA effects This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments High throughput screening (Drug development) Small interfering RNA. Experimental design Erscheint auch als Druckausgabe 978-0-521-51771-3 Erscheint auch als Druckausgabe 978-0-521-73444-8 https://doi.org/10.1017/CBO9780511973888 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zhang, Xiaohua Douglas 1966- Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research Machine generated contents note: Part I. RNAi HTS and Data Analysis: 1. Introduction to genome-scale RNAi research; 2. Experimental designs; 3. Data display and normalization; 4. Quality control in genome-scale RNAi screens; 5. Hit selection in genome-scale RNAi screens without replicates; 6. Hit selection in genome-scale RNAi screens with replicates; Part II. Methodological Development for Analyzing RNAi HTS Screens: 7. Statistical methods for group comparison; 8. Statistical methods for assessing the size of siRNA effects High throughput screening (Drug development) Small interfering RNA. Experimental design |
| title | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research |
| title_auth | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research |
| title_exact_search | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research |
| title_full | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research Xiaohua Douglas Zhang, Merck Research Laboratories |
| title_fullStr | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research Xiaohua Douglas Zhang, Merck Research Laboratories |
| title_full_unstemmed | Optimal high-throughput screening practical experimental design and data analysis for genome-scale RNAi research Xiaohua Douglas Zhang, Merck Research Laboratories |
| title_short | Optimal high-throughput screening |
| title_sort | optimal high throughput screening practical experimental design and data analysis for genome scale rnai research |
| title_sub | practical experimental design and data analysis for genome-scale RNAi research |
| topic | High throughput screening (Drug development) Small interfering RNA. Experimental design |
| topic_facet | High throughput screening (Drug development) Small interfering RNA. Experimental design |
| url | https://doi.org/10.1017/CBO9780511973888 |
| work_keys_str_mv | AT zhangxiaohuadouglas optimalhighthroughputscreeningpracticalexperimentaldesignanddataanalysisforgenomescalernairesearch |