When the input list is compared with the previously computed background, or is a subset of reference list, choose hypergeometric or fisher, for latter only when your query number is quite small. When the input list has few or no intersections with the reference list, the Chi-square tests are more appropriate.
Please input the annotations as following:test_0001 GO:0000001test_0002 GO:0000001test_0003 GO:0000001test_0004 GO:0000001test_0005 GO:0000001test_0006 GO:0000001test_0007 GO:0000001test_0008 GO:0000001test_0009 GO:0000001test_0010 GO:0000002test_0011 GO:0000002test_0012 GO:0000002test_0013 GO:0000002test_0014 GO:0000002test_0015 GO:0000002test_0016 GO:0000002test_0017 GO:0000003test_0018 GO:0000003test_0019 GO:0000005test_0020 GO:0000006test_0021 GO:0000007test_0022 GO:0000008test_0023 GO:0000009test_0024 GO:0000010test_0025 GO:0000001test_0026 GO:0000001test_0027 GO:0000001test_0028 GO:0000001test_0029 GO:0000002test_0030 GO:0000002test_0031 GO:0000002test_0032 GO:0000018test_0033 GO:0000019test_0034 GO:0000020test_0035 GO:0000021test_0036 GO:0000022test_0037 GO:0000023test_0038 GO:0000024test_0039 GO:0000025test_0040 GO:0000026test_0041 GO:0000027test_0042 GO:0000028test_0043 GO:0000029test_0044 GO:0000030test_0045 GO:0000031test_0046 GO:0000032test_0047 GO:0000033test_0048 GO:0000034test_0049 GO:0000035test_0050 GO:0000036test_0051 GO:0000037test_0052 GO:0000038test_0053 GO:0000039test_0054 GO:0000040test_0055 GO:0000041test_0056 GO:0000042test_0057 GO:0000043test_0058 GO:0000044test_0059 GO:0000045test_0060 GO:0000046test_0061 GO:0000047test_0062 GO:0000048test_0063 GO:0000049test_0064 GO:0000050test_0065 GO:0000051test_0066 GO:0000052test_0067 GO:0000053test_0068 GO:0000054test_0069 GO:0000055test_0070 GO:0000056test_0071 GO:0000057test_0072 GO:0000058test_0073 GO:0000059test_0074 GO:0000060test_0075 GO:0000061test_0076 GO:0000062test_0077 GO:0000063test_0078 GO:0000064test_0079 GO:0000065test_0080 GO:0000066test_0081 GO:0000067test_0082 GO:0000068test_0083 GO:0000069test_0084 GO:0000070test_0085 GO:0000071test_0086 GO:0000072test_0087 GO:0000073test_0088 GO:0000074test_0089 GO:0000075test_0090 GO:0000076test_0091 GO:0000077test_0092 GO:0000078test_0093 GO:0000079test_0094 GO:0000080test_0095 GO:0000081test_0096 GO:0000082test_0097 GO:0000083test_0098 GO:0000084test_0099 GO:0000085test_0100 GO:0000086
Please input accession IDs of the interesting gene products. e.g.:TAIR:locus:1005716561 TAIR:locus:2031476 TAIR:locus:2043067 TAIR:locus:2044851 TAIR:locus:2012612 TAIR:locus:2027483 TAIR:locus:2202810 TAIR:locus:2037970 TAIR:locus:2018605 TAIR:locus:2200873 TAIR:locus:2195155 TAIR:locus:2031576 TAIR:locus:2031561 TAIR:locus:2040555 TAIR:locus:2061753 TAIR:locus:2039712 TAIR:locus:2052432 TAIR:locus:2054982 TAIR:locus:2094508 TAIR:locus:2094014
Please input names of the interesting gene products. e.g.:GR1 ENO1 ENOC LOS2 SAC52 AT1G18540 RPL10B PRPL11 RP1 RPL3B SAG24 AT1G74050 AT1G74060 RPL24A AT2G37190 RPL23AA RPL16A AT2G44860 XPO1B