DAVID Bioinformatics
The Database for Annotation, Visualization and Integrated Discovery
Gene Name Batch Viewer
DAVID Bioinformatics Resources 2008, NIAID/NIH
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  • AFFYMETRIX
    • Canine
    • HC-G110
    • HG-Focus
    • HG-U133A
    • HG-U133B
    • HG-U133_Plus_2
    • HG-U95Av2
    • HG-U95B
    • HG-U95C
    • HG-U95D
    • HG-U95E
    • Hu35KsubA
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    • Hu35KsubC
    • Hu35KsubD
    • HuGene-1_0-st-v1
    • HuGeneFl
    • MG-U74Av2
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    • MG-U74Cv2
    • MOE430A
    • MOE430B
    • Mouse430_2
    • RAE230A
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    • RG_U34A
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    • Rat230_2
    • U133_X3P Array
  • ILLUMINA
    • HUMANHT-12_V3_0_R1_11283641_A
    • HUMANREF-8_V2_0_R3_11223162_A
    • HUMANREF-8_V3_0_R1_11282963_A
    • HUMANWG-6_V2_0_R3_11223189_A
    • HUMANWG-6_V3_0_R1_11282955_A
    • MOUSEREF-8_V1_1_R3_11234312_A
    • MOUSEREF-8_V2_0_R1_11278551_A
    • MOUSEWG-6_V1_1_R3_11234304_A
    • MOUSEWG-6_V2_0_R1_11278593_A
    • RATREF-12_V1_0_R3_11222119_A
    
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Gene Name Batch Viewer

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What does this tool do?
  • Quickly translate given gene IDs to corresponding gene names in a batch way
  • Porvide links for each genes to DAVID Gene Report for in-depth information
  • Search functionally related genes within user's input gene list or genome
Key Concepts of "Search Related Genes"

    Any given gene is associating with a set of annotation terms. If genes share similar set of those terms (annotation profile), they are most likely involved in similar biological mechanisms. The algorithm adopts kappa statistics to quantitatively measure the degree of the agreement how genes share the ~75,000 annotation terms collected by DAVID knowledgebase. For any given gene(s), the tool instantly searches and lists the related genes passed kappa similarity measurement threshold. The searching scope could be within user’s input gene list, selected genome or all genomes (~1.2 million genes) as user’s choice.

 

    Find Related Genes Tool is very different and complementary to the common gene clustering methods, such as homologous genes based on sequence similarity; protein families based on one common biological activity. The approach provides researchers a new way to group those functional related genes by measuring the similarity of their global annotation profile, which facilitates new understanding of the biological network.  More







 Please cite the web site or Genome Biology 2003; 4(5):P3 within any publication that makes use of any methods inspired by DAVID.
                          

        

                 
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