Microarray Data Explorer
Info Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages. You can read more about microarray data here.
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Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
BXD100
GSM1466534
GSM1466533
BXD101
GSM1466536
GSM1466535
BXD103
GSM1466538
GSM1466537
BXD43
GSM1466462
GSM1466463
BXD44
GSM1466464
GSM1466465
BXD45
GSM1466466
GSM1466467
BXD48
GSM1466468
GSM1466469
BXD49
GSM1466470
GSM1466471
BXD50
GSM1466472
BXD51
GSM1466474
GSM1466473
BXD55
GSM1466476
GSM1466475
BXD56
GSM1466478
GSM1466477
BXD60
GSM1466479
BXD61
GSM1466480
GSM1466481
BXD62
GSM1466482
GSM1466483
BXD63
GSM1466484
GSM1466485
BXD64
GSM1466486
GSM1466487
BXD65
GSM1466488
GSM1466489
BXD66
GSM1466490
GSM1466491
BXD68
GSM1466492
GSM1466493
BXD69
GSM1466494
GSM1466495
BXD70
GSM1466496
GSM1466497
BXD71
GSM1466498
GSM1466499
BXD73
GSM1466500
GSM1466501
BXD75
GSM1466502
GSM1466503
BXD79
GSM1466504
GSM1466505
BXD80
GSM1466506
GSM1466507
BXD81
GSM1466508
GSM1466509
BXD83
GSM1466510
GSM1466511
BXD84
GSM1466512
GSM1466513
BXD85
GSM1466514
GSM1466515
BXD87
GSM1466516
GSM1466517
BXD89
GSM1466518
GSM1466519
BXD90
GSM1466520
GSM1466521
BXD92a
GSM1466522
BXD95
GSM1466524
GSM1466523
BXD96
GSM1466526
GSM1466525
BXD97
GSM1466528
GSM1466527
BXD98
GSM1466530
GSM1466529
BXD99
GSM1466532
GSM1466531
C57BL/6J
GSM1466540
GSM1466539
DBA/2J
GSM1466542
GSM1466541
Description

Submission Date: Aug 06, 2014

Summary: Transcript data from livers from fasted-state BXD strains on chow or high fat diet

We used microarrays to compare the hepatic expression differences across the BXD strain family and across two diverse diets

GEO Accession ID: GSE60149

PMID: 25215496

Description

Submission Date: Aug 06, 2014

Summary: Transcript data from livers from fasted-state BXD strains on chow or high fat diet

We used microarrays to compare the hepatic expression differences across the BXD strain family and across two diverse diets

GEO Accession ID: GSE60149

PMID: 25215496

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method: