DAVID: Functional Annotation Result Summary

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Step 2: Select Identifier

Step 3: List Type

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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
- Hu35KsubB
- Hu35KsubC
- Hu35KsubD
- HuGene-1_0-st-v1
- HuGeneFl
- MG-U74Av2
- MG-U74Bv2
- MG-U74Cv2
- MOE430A
- MOE430B
- Mouse430_2
- RAE230A
- RAE230B
- RG_U34A
- RG_U34B
- RG_U34C
- 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

Bioinformatic Resources

Functional Annotation Tool

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Key Concepts:

The DAVID Gene Concept

DAVID 2.0 is design around the "DAVID Gene Concept", a graph theory evidence-based method to agglomerate species-specific gene/protein identifiers from a variety of public genomic resources including NCBI, PIR and Uniprot/SwissProt. The DAVID Gene Concept method groups tens of million of identifiers from over 65,000 species into 1.5 million unique protein/gene records. More

Term/Gene Co-Occurrence Probability

Ranking functional categories based on co-occurrence with sets of genes in a gene list can rapidly aid in unraveling new biological processes associated with cellular functions and pathways. DAVID 2.0 allows investigators to sort gene categories from dozens of annotation systems. Sorting can be based either the number of genes within each category or by the EASE-score. More

Gene Similarity Search

Any given gene is associating with a set of annotation terms. If genes share similar set of those terms, they are most likely involved in similar biological mechanisms. The algorithm tries to group those related genes based on the agreement of sharing similar annotation terms by Kappa statistics. More

Term Similarity Search

Typically, a biological process/term is done by a corporation of a set of genes. If two or more biological processes are done by similar set of genes, the processes might be related in the biological network somehow. This search function is to identify the related biological processes/terms by quantitatively measuring the degree of the agreement how terms share the similar participating genes. More

Integrated Solutions

Functional Annotation
Numerous Data Sources
Co-occurrence Probability
Use Homolog Annotation
Dynamic Pathway Maps
Disease Associations