Gene Function Analysis

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 rec...

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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Ochs, Michael F. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Elektronski eKnjiga
Jezik:English
Izdano: Totowa, NJ : Humana Press : Imprint: Humana, 2007.
Izdaja:1st ed. 2007.
Serija:Methods in Molecular Biology, 408
Teme:
Online dostop:https://doi.org/10.1007/978-1-59745-547-3
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Kazalo:
  • Computational Methods I
  • Gene Function Inference From Gene Expression of Deletion Mutants
  • Association Analysis for Large-Scale Gene Set Data
  • Estimating Gene Function With Least Squares Nonnegative Matrix Factorization
  • From Promoter Analysis to Transcriptional Regulatory Network Prediction Using PAINT
  • Prediction of Intrinsic Disorder and Its Use in Functional Proteomics
  • Computational Methods II
  • Sybil: Methods and Software for Multiple Genome Comparison and Visualization
  • Estimating Protein Function Using Protein-Protein Relationships
  • Bioinformatics Tools for Modeling Transcription Factor Target Genes and Epigenetic Changes
  • Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS)
  • Statistical Methods for Identifying Differentially Expressed Gene Combinations
  • Experimental Methods
  • Gene Function Analysis Using the Chicken B-Cell Line DT40
  • Design and Application of a shRNA-Based Gene Replacement Retrovirus
  • Construction of Simple and Efficient DNA Vector-Based Short Hairpin RNA Expression Systems for Specific Gene Silencing in Mammalian Cells
  • Selection of Recombinant Antibodies From Antibody Gene Libraries
  • A Bacterial/Yeast Merged Two-Hybrid System
  • A Bacterial/Yeast Merged Two-Hybrid System
  • Engineering Cys2His2 Zinc Finger Domains Using a Bacterial Cell-Based Two-Hybrid Selection System.