Plate Design for and Cherry Picking of Bacterial RNAi Clones for Systematic Error Detection in High‐Throughput <i>Caenorhabditis elegans</i> RNAi Screens
Sakthimala Jagadeesan, Abdul Hakkim
- 发表年份
- 2018
- 引用次数
- 1
摘要
Automated or semi-automated high-throughput RNAi screens are highly prone to systematic errors because of multistep repetitive protocols and extensive use of automated instruments. A well-designed RNAi library can help detect and minimize systematic human and robotic errors. In this unit, we describe how to design an RNAi bacterial library for use in conjunction with the well-studied nematode Caenorhabditis elegans for automated phenotypic screens. We provide strategies to design and assemble RNAi libraries to reduce or eliminate systematic errors. These strategies serve as a good quality-control check and facilitate obtaining high-quality data from a genome-wide and sub-library RNAi screen. © 2018 by John Wiley & Sons, Inc.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991