[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 2 variables:
id	Label1	AccNum	GeneSym	Info	Gene Name
2940	201946_s_at	AL545982	CCT2		chaperonin containing TCP1, subunit 2 (beta)
2941	201947_s_at	NM_006431	CCT2		chaperonin containing TCP1, subunit 2 (beta)

Fetching correlation data, please wait...
Getting list of correlations for id 2940.
Getting list of p-values for id 2940.
1 of 2 done.
Getting list of correlations for id 2941.
Getting list of p-values for id 2941.
2 of 2 done.
Calculating corrections for multiple testing (n=46234), please wait...
Done; whole program took 0.197 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201946_s_at	1554768_a_at	AF394735	MAD2L1	0.920405	3.421787e-35	1.582029e-30	1.582029e-30
2	201946_s_at	222983_s_at	BC001716	PAIP2	0.914428	5.898632e-34	2.727173e-29	1.363587e-29
3	201946_s_at	200806_s_at	BE256479	HSPD1	0.913567	8.737890e-34	4.039876e-29	1.346625e-29
4	201946_s_at	202899_s_at	NM_003017	SRSF3	0.910075	4.128614e-33	1.908823e-28	4.772058e-29
5	201946_s_at	200008_s_at	D13988	GDI2	0.908166	9.394151e-33	4.343292e-28	8.686584e-29
6	201946_s_at	1554577_a_at	AY057056	PSMD10	0.905982	2.355467e-32	1.089027e-27	1.815044e-28
7	201946_s_at	210338_s_at	AB034951	HSPA8	0.902695	9.010332e-32	4.165837e-27	5.951195e-28
8	201946_s_at	201742_x_at	NM_006924	SRSF1	0.902502	9.732692e-32	4.499813e-27	5.624766e-28
9	201946_s_at	1555814_a_at	AF498970	RHOA	0.897711	6.305577e-31	2.915320e-26	3.239245e-27
10	201946_s_at	208811_s_at	AF080569		0.896485	1.002069e-30	4.632966e-26	4.632966e-27
11	201946_s_at	1554441_a_at	AF479418	WAPAL	0.895419	1.492216e-30	6.899111e-26	6.271919e-27
12	201946_s_at	201444_s_at	NM_005765	ATP6AP2	0.891743	5.705037e-30	2.637667e-25	2.198056e-26
13	201946_s_at	204128_s_at	NM_002915	RFC3	0.889241	1.382240e-29	6.390649e-25	4.915884e-26
14	201946_s_at	1557910_at	BG612458	HSP90AB1	0.887286	2.720570e-29	1.257828e-24	8.984486e-26
15	201946_s_at	201504_s_at	AI435302	TSN	0.885597	4.834861e-29	2.235350e-24	1.490233e-25
16	201946_s_at	204426_at	NM_006815	TMED2	0.885153	5.614598e-29	2.595853e-24	1.622408e-25
17	201946_s_at	201476_s_at	AI692974	RRM1	0.884519	6.945275e-29	3.211079e-24	1.888870e-25
18	201946_s_at	1555760_a_at	AF364037	RBM15	0.882830	1.216392e-28	5.623866e-24	3.124370e-25
19	201946_s_at	211450_s_at	D89646	MSH6	0.882185	1.503615e-28	6.951815e-24	3.658850e-25
20	201946_s_at	213548_s_at	BG257762	CDV3	0.877839	6.067699e-28	2.805340e-23	1.402670e-24
21	201946_s_at	212162_at	AK022873	KIDINS220	0.877442	6.873355e-28	3.177827e-23	1.513251e-24
22	201946_s_at	209055_s_at	AW268817	CDC5L	0.877064	7.737761e-28	3.577476e-23	1.626126e-24
23	201946_s_at	200769_s_at	NM_005911	MAT2A	0.876081	1.050829e-27	4.858402e-23	2.112349e-24
24	201946_s_at	211080_s_at	Z25425	NEK2	0.870130	6.354267e-27	2.937832e-22	1.224097e-23
25	201946_s_at	216266_s_at	AK025637	ARFGEF1	0.869971	6.658554e-27	3.078516e-22	1.231406e-23
26	201946_s_at	1565269_s_at	AF047022	ATF1	0.869618	7.387785e-27	3.415668e-22	1.313719e-23
27	201946_s_at	208097_s_at	NM_030755	TMX1	0.869286	8.143538e-27	3.765083e-22	1.394475e-23
28	201946_s_at	204427_s_at	NM_006815	TMED2	0.868125	1.142337e-26	5.281481e-22	1.886243e-23
29	201946_s_at	200751_s_at	BE898861	HNRNPC	0.866285	1.939887e-26	8.968874e-22	3.092715e-23
30	201946_s_at	233924_s_at	AK002113	EXOC6	0.864241	3.462821e-26	1.601001e-21	5.336669e-23
31	201946_s_at	200604_s_at	M18468	PRKAR1A	0.863432	4.343838e-26	2.008330e-21	6.478484e-23
32	201946_s_at	202162_s_at	AI769416	CNOT8	0.863088	4.781824e-26	2.210829e-21	6.908839e-23
33	201946_s_at	201337_s_at	NM_004781	VAMP3	0.861776	6.879185e-26	3.180522e-21	9.637946e-23
34	201946_s_at	209131_s_at	U55936	SNAP23	0.860947	8.638537e-26	3.993941e-21	1.174689e-22
35	201946_s_at	211825_s_at	AF327066		0.859427	1.306634e-25	6.041090e-21	1.726026e-22
36	201946_s_at	201523_x_at	BE262760	UBE2N	0.858815	1.541778e-25	7.128258e-21	1.980072e-22
37	201946_s_at	208852_s_at	AI761759	CANX	0.858631	1.619877e-25	7.489339e-21	2.024146e-22
38	201946_s_at	200796_s_at	BF594446	MCL1	0.857929	1.955811e-25	9.042499e-21	2.379605e-22
39	201946_s_at	1554510_s_at	AB009685	GHITM	0.855365	3.859190e-25	1.784258e-20	4.575020e-22
40	201946_s_at	214544_s_at	NM_003825	SNAP23	0.854361	5.017620e-25	2.319847e-20	5.799616e-22
41	201946_s_at	217777_s_at	NM_016395	PTPLAD1	0.854016	5.489171e-25	2.537863e-20	6.189910e-22
42	201946_s_at	233878_s_at	BE536170	XRN2	0.852827	7.467095e-25	3.452337e-20	8.219850e-22
43	201946_s_at	222393_s_at	AU149868	NAA50	0.851978	9.285709e-25	4.293155e-20	9.984081e-22
44	201946_s_at	215177_s_at	AV733308	ITGA6	0.851537	1.039333e-24	4.805252e-20	1.092103e-21
45	201946_s_at	1554868_s_at	BC013916	PCNP	0.850948	1.207420e-24	5.582385e-20	1.240530e-21
46	201946_s_at	215207_x_at	BF695847		0.850479	1.360022e-24	6.287928e-20	1.366941e-21
47	201946_s_at	219868_s_at	NM_016376	ANKFY1	0.849833	1.600838e-24	7.401315e-20	1.574748e-21
48	201946_s_at	201835_s_at	NM_006253	PRKAB1	0.849603	1.696562e-24	7.843886e-20	1.634143e-21
49	201946_s_at	208761_s_at	U67122	SUMO1	0.849582	1.705538e-24	7.885382e-20	1.609262e-21
50	201946_s_at	220477_s_at	NM_014145	C20orf30	0.849349	1.808258e-24	8.360299e-20	1.672060e-21

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