[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 1 variable:
id	Label1	AccNum	GeneSym	Info	Gene Name
2925	201930_at	NM_005915	MCM6		minichromosome maintenance complex component 6

Fetching correlation data, please wait...
Getting list of correlations for id 2925.
Getting list of p-values for id 2925.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.149 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201930_at	219306_at	NM_020242	KIF15	0.746181	3.784232e-16	8.748009e-12	8.748009e-12
2	201930_at	204023_at	NM_002916	RFC4	0.738618	1.066043e-15	2.464371e-11	1.232186e-11
3	201930_at	201897_s_at	NM_001826	CKS1B	0.731576	2.709300e-15	6.263089e-11	2.087696e-11
4	201930_at	229097_at	AI813331	DIAPH3	0.726644	5.117787e-15	1.183079e-10	2.957697e-11
5	201930_at	205909_at	NM_002692	POLE2	0.724791	6.475903e-15	1.497035e-10	2.994069e-11
6	201930_at	221521_s_at	BC003186	GINS2	0.717192	1.667533e-14	3.854837e-10	6.424728e-11
7	201930_at	204603_at	NM_003686	EXO1	0.709055	4.438893e-14	1.026139e-9	1.465913e-10
8	201930_at	202705_at	NM_004701	CCNB2	0.697374	1.709952e-13	3.952897e-9	4.941121e-10
9	201930_at	204026_s_at	NM_007057	ZWINT	0.694899	2.256743e-13	5.216912e-9	5.796568e-10
10	201930_at	213008_at	BG403615	FANCI	0.675256	1.856859e-12	4.292500e-8	4.292500e-9
11	201930_at	218585_s_at	NM_016448	DTL	0.674245	2.060728e-12	4.763784e-8	4.330713e-9
12	201930_at	209507_at	BC005264	RPA3	0.671690	2.675973e-12	6.186047e-8	5.155039e-9
13	201930_at	218719_s_at	NM_022770	GINS3	0.668196	3.809759e-12	8.807019e-8	6.774630e-9
14	201930_at	222606_at	AA824298	ZWILCH	0.668149	3.827543e-12	8.848132e-8	6.320094e-9
15	201930_at	205393_s_at	NM_001274	CHEK1	0.666649	4.447670e-12	1.028168e-7	6.854452e-9
16	201930_at	45633_at	AI421812	GINS3	0.665218	5.128630e-12	1.185585e-7	7.409909e-9
17	201930_at	203270_at	NM_012145	DTYMK	0.650426	2.139298e-11	4.945415e-7	2.909068e-8
18	201930_at	205053_at	NM_000946	PRIM1	0.646409	3.110753e-11	7.191128e-7	3.995071e-8
19	201930_at	200829_x_at	NM_003457	ZNF207	0.645963	3.241785e-11	7.494034e-7	3.944229e-8
20	201930_at	212566_at	AL523310	MAP4	-0.645900	3.260707e-11	7.537776e-7	3.768888e-8
21	201930_at	225297_at	AV715391	HAUS1	0.643056	4.233969e-11	9.787666e-7	4.660793e-8
22	201930_at	226421_at	AA707320	AMMECR1	0.638989	6.122834e-11	1.415416e-6	6.433707e-8
23	201930_at	227110_at	AA126793	HNRNPC	0.635305	8.512334e-11	1.967796e-6	8.555635e-8
24	201930_at	222077_s_at	AU153848	RACGAP1	0.634752	8.940655e-11	2.066811e-6	8.611713e-8
25	201930_at	1553984_s_at	AF258562	DTYMK	0.631145	1.228472e-10	2.839859e-6	1.135944e-7
26	201930_at	226370_at	BG149487	KLHL15	0.629938	1.365056e-10	3.155599e-6	1.213692e-7
27	201930_at	202763_at	NM_004346	CASP3	0.629081	1.470692e-10	3.399799e-6	1.259185e-7
28	201930_at	205046_at	NM_001813	CENPE	0.626948	1.768791e-10	4.088913e-6	1.460326e-7
29	201930_at	201589_at	D80000	SMC1A	0.626179	1.889870e-10	4.368812e-6	1.506487e-7
30	201930_at	33850_at	W28892	MAP4	-0.624579	2.167740e-10	5.011164e-6	1.670388e-7
31	201930_at	219672_at	NM_016633	AHSP	0.624055	2.267028e-10	5.240688e-6	1.690544e-7
32	201930_at	212567_s_at	AL523310	MAP4	-0.623241	2.429803e-10	5.616975e-6	1.755305e-7
33	201930_at	213134_x_at	AI765445	BTG3	0.620337	3.106701e-10	7.181761e-6	2.176291e-7
34	201930_at	212789_at	AI796581	NCAPD3	0.618825	3.527351e-10	8.154177e-6	2.398287e-7
35	201930_at	213346_at	BE748563	C13orf27	0.618351	3.670219e-10	8.484445e-6	2.424127e-7
36	201930_at	204033_at	NM_004237	TRIP13	0.617501	3.940310e-10	9.108815e-6	2.530226e-7
37	201930_at	204825_at	NM_014791	MELK	0.616637	4.234123e-10	9.788022e-6	2.645411e-7
38	201930_at	224734_at	N92507	HMGB1	0.616281	4.361220e-10	1.008183e-5	2.653114e-7
39	201930_at	203358_s_at	NM_004456	EZH2	0.615532	4.640378e-10	1.072716e-5	2.750554e-7
40	201930_at	218355_at	NM_012310	KIF4A	0.613992	5.269558e-10	1.218164e-5	3.045410e-7
41	201930_at	203764_at	NM_014750	DLGAP5	0.613139	5.652675e-10	1.306729e-5	3.187143e-7
42	201930_at	213251_at	AV712064	SMARCA5	0.612946	5.742968e-10	1.327602e-5	3.160957e-7
43	201930_at	203554_x_at	NM_004219	PTTG1	0.612911	5.759288e-10	1.331375e-5	3.096220e-7
44	201930_at	1554572_a_at	BC029360	SUV39H2	0.609993	7.307793e-10	1.689342e-5	3.839415e-7
45	201930_at	200759_x_at	NM_003204	NFE2L1	-0.609840	7.399203e-10	1.710474e-5	3.801053e-7
46	201930_at	203405_at	NM_003720	PSMG1	0.609105	7.853811e-10	1.815565e-5	3.946881e-7
47	201930_at	221263_s_at	NM_031287	SF3B5	0.608336	8.357358e-10	1.931971e-5	4.110576e-7
48	201930_at	221190_s_at	NM_013326	C18orf8	0.607693	8.802395e-10	2.034850e-5	4.239270e-7
49	201930_at	238035_at	N66313	SP3	0.607691	8.803913e-10	2.035201e-5	4.153470e-7
50	201930_at	220840_s_at	NM_018186	C1orf112	0.607558	8.898747e-10	2.057123e-5	4.114247e-7

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