Gene function inference from gene expression of deletion mutants / Ghislain Bidaut -- Association analysis for large-scale gene set data / Stefan A. Kirov, Bing Zhang, and Jay R. Snoddy -- Estimating gene function with least squares nonnegative matrix factorization / Guoli Wang and Michael F. Ochs -- From promoter analysis to transcriptional regulatory network prediction using PAINT / Gregory E. Gonye [and others] -- Prediction of intrinsic disorder and its use in functional proteomics / Vladimir N. Uversky [and others] -- Sybil : methods and software for multiple genome comparison and visualization / Jonathan Crabtree [and others] -- Estimating protein function using protein-protein relationships / Shailesh V. Date -- Bioinformatics tools for modeling transcription factor target genes and epigenetic changes / Ramana V. Dvuluri -- Mining biomedical data using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS) / John D. Osborne [and others] -- Statistical methods for identifying differentially expressed gene combinations / Yen-Yi Ho [and others] -- Gene function analysis using the chicken B-cell line DT40 / Randolph B. Caldwell [and others] -- Design and application of a shRNA-based gene replacement retrovirus / Rugang Zhang, Peter D. Adams, and Xiaofen Ye -- Construction of simple and efficient DNA vector-based short hairpin RNA expression systems for specific gene silencing in mammalian cells / Tsung-Lin Cheng and Wen-Tsan Chang -- Selection of recombinant antibodies from antibody gene libraries / Michael Hust, Stefan Dübel, and Thomas Schirrmann -- A bacterial/yeast merged two-hybrid system : protocol for yeast screening with single of parallel baits / Nadezhda Y. Tikhmyanova [and others] -- A bacterial/yeast merged two-hybrid system : protocol for bacterial screening / Ilya G. Serebriiskii, Nadia Milech, and Erica A. Golemis -- Engineering Cys2His2 zinc finger domains using a bacterial cell-based two-hybrid selection system / Stacey Thibodeau-Beganny and J. Keith Joung
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With the advent of high-throughput technologies, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. In Gene Function Analysis, a select team of experts bring together a number of recently developed techniques for studying gene function. The volume begins with a variety of computational techniques, which provide an excellent point of departure for the cutting-edge experimental methods that follow. Written in the highly successful Methods in Molecular Biology series format, each chapter surveys its subject with readily reproducible laboratory protocols, a list of the necessary materials, and the popular Notes section, which contains tips for troubleshooting and avoiding known pitfalls. Comprehensive and timely, Gene Function Analysis offers researchers a clear guide and the important tools they need to further study the intricate human genome