Step 1:
Select total file
Input should be a text file with '.txt' extension.
if no file is specified.
OR
Select Auto-Generate option
Auto-Generate (Increases Computation Time Significantly)
Step 2: Select the changed file
Accepts zip file with '.zip' or text file with '.txt' extension
Step 3: Select DataSource(s)
Choose from list
All
UniProt (H. sapiens et al.)
TIGR_TGI (H. sapiens et al.)
TIGR_CMR (Microbes)
FB (D. melanogaster)
GeneDB (G. morsitans)
GeneDB_Tbrucei (T. brucei)
GR (O. sativa)
LMP (H. sapiens)
MGI (M. musculus)
RGD (R. norvegicus)
SGD (S. cerevisiae)
TAIR (A. thaliana)
TIGR_Ath1 (A. thaliana)
TIGR_Tba1 (T. brucei)
WB (C. elegans)
ZFIN (D. rerio)
OR
Specify semicolon separated list of data sources. You find possible values at the Gene Ontology web site ; look at the abbreviate and synonym fields.
For example, UniProt and Mouse Consortium would be UniPro;MGI
Step 4: Select Organism(s)
Choose from list
All
H. sapiens
M. musculus
R. norvegicus
D. melanogaster
C. elegans
D. rerio
S. pombe
A. thaliana
T. brucei
O. sativa
S. cerevisiae
G. morsitans
OR
Specify semicolon separated NCBI Tax ID's
For example, human and mouse would be given as 9606;10090
Step 5: Select Evidence Code(s)
Choose from list
All
Evidence Level 1 (TAS,IDA,IMP,IGI,IPI,ISS,IEP,NAS,RCA)
Evidence Level 2 (TAS,IDA,IMP,IGI,IPI,ISS,IEP,NAS)
Evidence Level 3 (TAS,IDA,IMP,IGI,IPI,ISS,IEP)
Evidence Level 4 (TAS,IDA,IMP,IGI,IPI)
Evidence Level 5 (TAS,IDA)
OR
Specify semicolon separated GO Evidence Code
For example, "Inferred by Curator" and "Inferred from Direct Assay" would be given as IC;IDA
Step 6: Select Lookup Settings
Enhanced Names (UniProt Only)
Enhanced Names only affects results if UniProt or All Data Sources is selected in Step 3.
Cross Reference
Synonym
Step 7: Select Statistical Constraints for Summary Reports
P-Value
FDR
Both
0.05
0.01
0.1
The p-value and/or FDR determine which categories are counted in the .report file and which
categories are displayed in the CIM.
Step 8: Select number of randomizations
50
100
500
1000
Step 9: Smallest Category Size for Category Statistics
Limits the categories that will be included in the CIM and summary reports. Categories whose size (i.e., the number of genes) is less than this threshold will be omitted from category statistic calculations, and randomized categories below this threshold will be omitted from FDR calculations.
Step 10: CIM
No CIM
Basic CIM
Additional CIMs (Uses Moderately Increased Hard Drive Storage)
Largest Category Size (i.e., the number of genes) to Include in CIM
Step 12: Select Root Category for evaluating enrichment ratios, Fisher's Exact and the FDR's.
All/Gene ontology
Biological process
Cellular component
Molecular function
Step 12: TF Binding (Currently support's only Human,Mouse and Rat Organism's.)
Compute TF Binding Sites at ABCC (Increases Computation Time Significantly)
Step 13: Your E-mail Address
Step 13: Submit your query