[Correlation Browser / New Search] [List of best correlations] [List of all variables] [Stats] [Help/About]

Correlations in the bone dataset

Use the form to search for:

an EntrezGene ID (e.g. "1234")
an Accession Number (e.g. "BE644809" or "NM_005715")
a Gene Symbol (e.g. "HMGCR" or "ZNF532", not case-sensitive)
a variable label (e.g. "1562529_s_at" or "hsa-miR-29c*")
a variable number (e.g. "#1234" for the 1234^th variable in the dataset)

(View the full list of available key terms [here]).

Starting timer.
Connected to database.
Searching for user input in variable labels, Entrez IDs, Accession Numbers...
Evaluating targets, filters and restrictions...

Finding correlations with 3 variables:
id	Label1	AccNum	GeneSym	Info	Gene Name
7046	209257_s_at	BF795297	SMC3		structural maintenance of chromosomes 3
7047	209258_s_at	AI373676	SMC3		structural maintenance of chromosomes 3
7048	209259_s_at	AF020043	SMC3		structural maintenance of chromosomes 3

Fetching correlation data, please wait...
Getting list of correlations for id 7046.
Getting list of p-values for id 7046.
1 of 3 done.
Getting list of correlations for id 7047.
Getting list of p-values for id 7047.
2 of 3 done.
Getting list of correlations for id 7048.
Getting list of p-values for id 7048.
3 of 3 done.
Calculating corrections for multiple testing (n=69351), please wait...
Done; whole program took 0.378 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	209258_s_at	235009_at	AI049791	BOD1L	0.929904	2.264409e-37	1.570391e-32	1.570391e-32
2	209257_s_at	224568_x_at	AW005982	MALAT1	0.916260	2.521346e-34	1.748579e-29	8.742893e-30
3	209257_s_at	222616_s_at	AI806796	USP16	0.914728	5.137878e-34	3.563170e-29	1.187723e-29
4	209258_s_at	242197_x_at	W95035	CD36	0.910516	3.404953e-33	2.361369e-28	5.903422e-29
5	209258_s_at	1552611_a_at	AL555086	JAK1	0.910225	3.866906e-33	2.681738e-28	5.363476e-29
6	209257_s_at	214693_x_at	BE732345		0.908858	6.987207e-33	4.845698e-28	8.076163e-29
7	209258_s_at	232238_at	AK001380	ASPM	0.908324	8.783456e-33	6.091414e-28	8.702021e-29
8	209258_s_at	236533_at	AW236958	ASAP1	0.907947	1.031349e-32	7.152511e-28	8.940639e-29
9	209257_s_at	215434_x_at	AV684285		0.906872	1.623899e-32	1.126190e-27	1.251322e-28
10	209258_s_at	206500_s_at	NM_018353	C14orf106	0.906752	1.707730e-32	1.184328e-27	1.184328e-28
11	209258_s_at	1558034_s_at	AL556703	CP	0.903983	5.356425e-32	3.714734e-27	3.377031e-28
12	209258_s_at	1558747_at	AA336502	SMCHD1	0.902192	1.101786e-31	7.640997e-27	6.367498e-28
13	209258_s_at	242352_at	AW272262	NIPBL	0.901482	1.460643e-31	1.012970e-26	7.792079e-28
14	209258_s_at	202905_x_at	AI796269	NBN	0.898512	4.643664e-31	3.220427e-26	2.300305e-27
15	209258_s_at	229586_at	AW300405	CHD9	0.897584	6.618387e-31	4.589918e-26	3.059945e-27
16	209257_s_at	225173_at	BE501862	ARHGAP18	0.897151	7.798024e-31	5.408008e-26	3.380005e-27
17	209257_s_at	212587_s_at	AI809341	PTPRC	0.897098	7.955513e-31	5.517228e-26	3.245428e-27
18	209258_s_at	208859_s_at	AI650257	ATRX	0.894493	2.102111e-30	1.457835e-25	8.099084e-27
19	209258_s_at	1555058_a_at	BC034621	LPGAT1	0.894023	2.498025e-30	1.732405e-25	9.117921e-27
20	209258_s_at	235435_at	BF433048	AASDH	0.893892	2.620251e-30	1.817170e-25	9.085851e-27
21	209258_s_at	228986_at	AW978375	OSBPL8	0.893525	2.996529e-30	2.078123e-25	9.895824e-27
22	209258_s_at	1558076_at	BF380051	ANKRD32	0.893076	3.527622e-30	2.446441e-25	1.112019e-26
23	209257_s_at	223940_x_at	AF132202	MALAT1	0.891359	6.542715e-30	4.537438e-25	1.972799e-26
24	209257_s_at	207198_s_at	NM_004987	LIMS1	0.886272	3.847132e-29	2.668025e-24	1.111677e-25
25	209258_s_at	208900_s_at	AW025108	TOP1	0.886097	4.081854e-29	2.830807e-24	1.132323e-25
26	209258_s_at	223882_at	AL136630	FAM172A	0.884020	8.202929e-29	5.688813e-24	2.188005e-25
27	209258_s_at	227152_at	AI979334	C12orf35	0.881917	1.641235e-28	1.138213e-23	4.215604e-25
28	209258_s_at	213926_s_at	AI742626	AGFG1	0.881361	1.967087e-28	1.364195e-23	4.872124e-25
29	209258_s_at	235266_at	AI139629	ATAD2	0.880901	2.283500e-28	1.583630e-23	5.460793e-25
30	209258_s_at	1558678_s_at	BE708432	MALAT1	0.875639	1.204903e-27	8.356121e-23	2.785374e-24
31	209258_s_at	241955_at	BE243270	HECTD1	0.875038	1.450120e-27	1.005673e-22	3.244106e-24
32	209258_s_at	239571_at	AI123399		0.870883	5.085482e-27	3.526833e-22	1.102135e-23
33	209258_s_at	214464_at	NM_003607	CDC42BPA	0.868905	9.101677e-27	6.312104e-22	1.912759e-23
34	209258_s_at	239002_at	AA748494	ASPM	0.866766	1.690724e-26	1.172534e-21	3.448630e-23
35	209258_s_at	213328_at	AI936517	NEK1	0.866045	2.077724e-26	1.440922e-21	4.116921e-23
36	209257_s_at	1559500_at	BC036005	VPS8	0.861306	7.828802e-26	5.429353e-21	1.508154e-22
37	209258_s_at	212926_at	AW183677	SMC5	0.861110	8.261293e-26	5.729289e-21	1.548457e-22
38	209258_s_at	219387_at	NM_017571	CCDC88A	0.860822	8.940255e-26	6.200156e-21	1.631620e-22
39	209257_s_at	209127_s_at	AW173076	SART3	0.859797	1.181989e-25	8.197213e-21	2.101850e-22
40	209258_s_at	235425_at	AW965339	SGOL2	0.859676	1.221579e-25	8.471775e-21	2.117944e-22
41	209258_s_at	212028_at	BE466128	RBM25	0.859339	1.338425e-25	9.282108e-21	2.263929e-22
42	209258_s_at	202412_s_at	AW499935	USP1	0.858917	1.499940e-25	1.040223e-20	2.476722e-22
43	209257_s_at	209060_x_at	AI438999	NCOA3	0.858204	1.816843e-25	1.259999e-20	2.930230e-22
44	209258_s_at	214723_x_at	AB046861	ANKRD36	0.857448	2.224161e-25	1.542478e-20	3.505631e-22
45	209257_s_at	223578_x_at	AF113016	MALAT1	0.856411	2.929589e-25	2.031699e-20	4.514887e-22
46	209258_s_at	236254_at	BE048857	VPS13B	0.855543	3.683153e-25	2.554304e-20	5.552834e-22
47	209258_s_at	236620_at	AU150841	RIF1	0.855353	3.870959e-25	2.684549e-20	5.711806e-22
48	209258_s_at	209088_s_at	T70262	UBN1	0.854887	4.374627e-25	3.033847e-20	6.320515e-22
49	209258_s_at	241620_at	AA873021	SMCHD1	0.854867	4.397376e-25	3.049624e-20	6.223723e-22
50	209258_s_at	224567_x_at	BG534952	MALAT1	0.853179	6.818037e-25	4.728377e-20	9.456754e-22

Note that correlations with a raw p-value above 0.05 may have been removed from the results.

Correlation Browser 2.0: Daniel Sachse, Sjur Reppe, Kåre Gautvik - 2013.

Search Options: Find correlations between...
Gene/Label/Number:	and (Empty also means "all others")
Output Options
Restrict output to	miRs, Transcription factors? (Empty: No restrictions.)
	with keyword:
	KEGG Pathway:
Limit output to	rows.
Remove	"self correlations", i.e. correlations of a variable with itself
Sort results by	positive, negative or absolute value of correlation