Correlations in the blood dataset

A typical search starts with inserting an identifier in the first window of “Search Options”, either Entrez Gene ID (e.g., “1234”), an Accession Number (e.g., “BE644809” or “NM_005715”), a Gene Symbol (e.g., “NR3C1” or “CREB1”, not case-sensitive) or an Affymetrix probe set ID (e.g., “8114814”).

Then, a specific transcript can be traced by inserting a second identifier in window two under “Search Options”. Alternatively, the window may be left open to obtain a list of the transcripts most significantly correlating to the identifier in the first window.

Filling in boxes in the “output options” fields enables restriction of output to e.g., transcripts having specific keywords in Gene Ontology (GO), TFs (genes having “transcription” as part of the Gene Title) or only positive or negative correlations.

Finding correlations with 2 variables:
id	Label1	AccNum	GeneSym	Info	Gene Name
16393	8166632	NM_001128127	GK		glycerol kinase
16981	8174103	NM_001128127	GK		glycerol kinase

Column legend:

• Rank: Row number sorted by strongest correlation
• Label1: Affymetrix probe set identifier(s) of the gene used in the search
• Label2: Affymetrix probe set identifiers of genes correlating to the Label 1 gene
• AccNum: The unique identifier for a sequence record [accessible at NCBI]
• GeneSym: Official gene symbol
• Info: Link to more information about the variable in the given row
• Pearson r: Pearson correlation coefficient
• Raw p: Unadjusted p-value
• Bonferroni: Bonferroni corrected p-value
• FDR (BH): False Discovery rate calculated by the Benjamini-Hochberg Procedure

Rank	Label1	Label2	AccNum	GeneSym	Info	Pearson r	Raw p	Bonferroni	FDR (BH)
1	8166632	8174103	NM_001128127	GK		0.984035	4.871410e-79	1.688138e-74	1.688138e-74
2	8174103	8166632	NM_001128127	GK		0.984035	4.871410e-79	1.688138e-74	8.440691e-75
3	8166632	8054329	NM_173647	RNF149		0.911968	1.199417e-41	4.156460e-37	1.385487e-37
4	8166632	8130556	NM_001024465	SOD2		0.897270	2.325822e-38	8.059905e-34	2.014976e-34
5	8174103	8054329	NM_173647	RNF149		0.895948	4.342247e-38	1.504762e-33	3.009525e-34
6	8166632	7951372	NM_033306	CASP4		0.894912	7.039613e-38	2.439507e-33	4.065846e-34
7	8166632	8174474	NM_022977	ACSL4		0.890423	5.396161e-37	1.869986e-32	2.671408e-33
8	8166632	8047381	NM_003879	CFLAR		0.887869	1.653726e-36	5.730823e-32	7.163528e-33
9	8166632	8131957	NM_013322	SNX10		0.877439	1.226777e-34	4.251273e-30	4.723636e-31
10	8174103	8130556	NM_001024465	SOD2		0.874018	4.628675e-34	1.604021e-29	1.604021e-30
11	8166632	8119529	NM_015255	UBR2		0.873647	5.332090e-34	1.847782e-29	1.679802e-30
12	8174103	8162147	NM_024617	ZCCHC6		0.873281	6.129716e-34	2.124192e-29	1.770160e-30
13	8166632	7978595	NM_013448	BAZ1A		0.871530	1.186817e-33	4.112796e-29	3.163689e-30
14	8174103	8047381	NM_003879	CFLAR		0.870220	1.933078e-33	6.698890e-29	4.784921e-30
15	8166632	8047161	NM_001031716	OBFC2A		0.868691	3.392644e-33	1.175687e-28	7.837912e-30
16	8166632	8004867	NM_001025579	NDEL1		0.868279	3.944382e-33	1.366886e-28	8.543039e-30
17	8166632	7919751	NM_021960	MCL1		0.865467	1.086461e-32	3.765020e-28	2.214718e-29
18	8166632	8166065	NM_138636	TLR8		0.864022	1.812905e-32	6.282439e-28	3.490244e-29
19	8166632	8046003	NM_012198	GCA		0.863828	1.940915e-32	6.726047e-28	3.540025e-29
20	8166632	8068105	NR_027655	BACH1		0.863495	2.181978e-32	7.561427e-28	3.780714e-29
21	8174103	8004867	NM_001025579	NDEL1		0.862726	2.855723e-32	9.896224e-28	4.712487e-29
22	8174103	7951372	NM_033306	CASP4		0.861554	4.287873e-32	1.485919e-27	6.754179e-29
23	8166632	7980005	NM_001005743	NUMB		0.861505	4.361215e-32	1.511336e-27	6.571024e-29
24	8174103	8131957	NM_013322	SNX10		0.860302	6.595550e-32	2.285622e-27	9.523424e-29
25	8166632	7936064	NM_012229	NT5C2		0.859016	1.021819e-31	3.541012e-27	1.416405e-28
26	8166632	8096669	NM_017628	TET2		0.858453	1.235846e-31	4.282701e-27	1.647193e-28
27	8174103	8174474	NM_022977	ACSL4		0.858005	1.437319e-31	4.980885e-27	1.844772e-28
28	8166632	8103951	NM_001995	ACSL1		0.857410	1.754218e-31	6.079066e-27	2.171095e-28
29	8174103	8119529	NM_015255	UBR2		0.856471	2.399386e-31	8.314832e-27	2.867184e-28
30	8174103	7954810	NM_198578	LRRK2		0.856078	2.733210e-31	9.471667e-27	3.157222e-28
31	8166632	8091523	NM_176894	P2RY13		0.855498	3.311520e-31	1.147574e-26	3.701852e-28
32	8166632	8008870	NM_030938	TMEM49		0.855378	3.445154e-31	1.193884e-26	3.730886e-28
33	8166632	8142120	NM_005746	NAMPT		0.855040	3.850508e-31	1.334355e-26	4.043500e-28
34	8166632	7950838	NM_007166	PICALM		0.854749	4.236414e-31	1.468087e-26	4.317903e-28
35	8166632	7995697	NM_017839	LPCAT2		0.854736	4.254322e-31	1.474293e-26	4.212265e-28
36	8166632	8120943	NM_016230	CYB5R4		0.854166	5.125679e-31	1.776253e-26	4.934036e-28
37	8174103	8068105	NR_027655	BACH1		0.852581	8.573605e-31	2.971097e-26	8.029992e-28
38	8166632	7933084	NM_005746	NAMPT		0.852413	9.051761e-31	3.136797e-26	8.254729e-28
39	8174103	8047161	NM_001031716	OBFC2A		0.852269	9.482626e-31	3.286109e-26	8.425921e-28
40	8166632	8052654	NM_020651	PELI1		0.852006	1.031751e-30	3.575430e-26	8.938574e-28
41	8166632	8147469	NM_016134	PGCP		0.850731	1.551492e-30	5.376542e-26	1.311352e-27
42	8174103	7978595	NM_013448	BAZ1A		0.850677	1.578238e-30	5.469226e-26	1.302197e-27
43	8174103	8017212	NM_032582	USP32		0.850198	1.837725e-30	6.368453e-26	1.481036e-27
44	8166632	8016745	NM_001130528	SPAG9		0.849429	2.343218e-30	8.120187e-26	1.845497e-27
45	8174103	8052654	NM_020651	PELI1		0.849071	2.623449e-30	9.091300e-26	2.020289e-27
46	8166632	8089527	NM_022488	ATG3		0.848947	2.727756e-30	9.452767e-26	2.054949e-27
47	8166632	8162147	NM_024617	ZCCHC6		0.848087	3.570301e-30	1.237252e-25	2.632452e-27
48	8166632	7954436	NM_006152	LRMP		0.847678	4.056971e-30	1.405903e-25	2.928964e-27
49	8166632	7951397	NM_033292	CASP1		0.847003	5.002155e-30	1.733447e-25	3.537647e-27
50	8166632	8055702	NM_004688	NMI		0.846062	6.690163e-30	2.318409e-25	4.636818e-27

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