Scientific

MK5 Microarray Data


Affected Genes - Ontology Breakdown - Gene Enrichment - Proteome Analysis

These are the micro-array results of a differential gene expression microarray experiments and the subsequent analysis steps performed on them. The up/down- regulation ratio was obtained by measuring WT cells against MK5 activated cells. See material and methods for technical information as well as the data usage policy.

MK5 Proteome Network Type I Analysis

Type 1 network in which we propagated the absolute log regulation ratio abs(log(r/g)). We used the filtered lowest boundary of the confidence interval for the microarray measurement based and used the high confidence interaction map. Because type-I networks tend to favour highly connected proteins we tested a normalisation scheme in which we would run the network once with real values (the measured column) and once with simulated values where each measured point is set to 1 instead of the actual signal (the expected column). Afterwards we divided the measured value by the expected value. This normalisation scheme works to a certain extend but will lead to a variance that is directly related to the connectivity of each protein. In the end we dropped the use of Type-I networks due to the many technical problems they pose.


Navigation/Query Panel:
Click on the attribute name to hide/unhide it. The green arrows can be used to shift columns left/right. Exact word match is written as =..., regular expressions can be matched with ~.... To select all values larger or equal than use >.... This would be <... for values smaller or equal than. To select all values within a specific range use [...,...].
description Rank Hugo Gene measured expected final
Results: HTML CSV LaTeX Showing element 351 to 400 of 3206 in total
description  :
Rank
Hugo
measured
expected
final
2461 RPAP1 0.0337015 0.155511 0.216714573
2465 BRD9 0.210228 0.970087 0.21671046
2470 LSM14B 0.0737619 0.340556 0.216592572
2472 CUEDC2 0.139984 0.646308 0.216590233
2476 LSM14A 0.0586202 0.270652 0.21658883
2487 GLT25D1 0.166202 0.768906 0.21615386
2489 no value 0.194172 0.898593 0.216084479
2492 0.239571 1.11109 0.215617997
2511 C20orf42 0.0343037 0.159725 0.214767256
2517 C11orf46 0.0598238 0.278552 0.214767081
2522 no value 0.0436957 0.203458 0.21476521
2541 0.0217565 0.101375 0.214614057
2543 FAM86C 0.0209707 0.0977138 0.214613494
2545 FAM86B2 0.0273323 0.127356 0.214613367
2553 no value 0.0511995 0.238723 0.214472422
2556 C1orf26 0.0333153 0.155451 0.214313835
2559 CEP164 0.128297 0.598643 0.214313038
2567 ZYG11B 0.0789696 0.370007 0.213427314
2574 no value 0.0577101 0.270506 0.213341294
2588 HAGHL 0.526405 2.47257 0.212897916
2598 HHATL 0.0200176 0.0940277 0.212890457
2640 AARSD1 0.0246707 0.117481 0.209997361
2673 NFASC 0.0251255 0.120084 0.209232704
2693 AIFM3 0.122185 0.586832 0.208211209
2700 HNRPLL 0.0804074 0.387009 0.207766228
2702 FAM82B 0.145039 0.698388 0.207676821
2705 ABHD14B 0.119287 0.574873 0.207501483
2707 no value 0.542979 2.61855 0.207358653
2716 0.411399 1.98421 0.207336421
2718 ABHD14A 0.0926594 0.446911 0.207333004
2719 MCTP2 0.0784199 0.378961 0.206933959
2720 MCTP1 0.10212 0.493701 0.206845844
2723 no value 0.0313747 0.1519 0.206548387
2725 0.10808 0.525053 0.205845886
2730 CCBL2 0.087666 0.42621 0.205687337
2731 CRLS1 0.354332 1.72277 0.205675743
2738 TMEM64 0.0252114 0.122785 0.205329641
2744 PPCDC 0.111176 0.543616 0.204512008
2745 PPCS 0.0833819 0.407712 0.204511763
2751 NARS2 0.117541 0.576375 0.203931468
2753 PGAM5 0.099187 0.486671 0.203807089
2755 SSU72 0.303744 1.49161 0.203634998
2756 ATAD1 0.153382 0.756695 0.202699899
2758 SAPS2 0.0721926 0.356265 0.202637363
2761 SAPS1 0.0657247 0.324347 0.202636991
2780 TARSL2 0.179735 0.894194 0.201002243
2784 FAHD1 0.469598 2.34488 0.200265259
2789 LYCAT 0.0519078 0.259665 0.199902952
2792 WDR32 0.0536744 0.268503 0.199902422
2807 no value 0.101691 0.514373 0.197698946

Legend:
- Rank is the rank after comparing the two networks
- Gene is the ensembl human gene identifier measured by 1 or more probes on the microarray
- Hugo is the bloody hugo identifier as demanded by the BMC Bioinformatics idiots

- http://analysis.yellowcouch.org/