Resolving candidate genes of mouse skeletal muscle QTL via RNA-Seq and expression network analyses
1 School of Medical Sciences, University of Aberdeen, Aberdeen, AB25 2ZD, UK
2 School of Medicine & Dentistry, University of Aberdeen, Aberdeen, AB25 2ZD, UK
3 Bioinformatics group, Max Planck Institute for Biology of Aging, Köln, D-50931, Germany
4 Sage Bionetworks, Seattle, WA, 98109, USA
5 Department of Biobehavioral Health, University Park, PA, 16802, USA
6 Penn State Institute for the Neurosciences, University Park, PA, 16802, USA
7 College of Health and Human Development, The Pennsylvania State University, University Park, PA, 16802, USA
BMC Genomics 2012, 13:592 doi:10.1186/1471-2164-13-592Published: 5 November 2012
Additional file 1:
Contains RNA-Seq results.
Format: XLSX Size: 5.5MB Download file
Additional file 2:
Contains scatter plot of the transcriptome of the TA muscle. X axis, mean expression level, Y axis, log of fold difference between LG/J and SM/J strains. Red dots represent differentially expressed genes at p<0.1.
Format: JPEG Size: 25KB Download file
Additional file 3:
Contains DexSeq analysis results.
Format: XLSX Size: 87KB Download file
Additional file 4:
Contains identified SNPs.
Format: XLSX Size: 466KB Download file
Additional file 5:
Contains identified Indels.
Format: XLSX Size: 19KB Download file
Additional file 6:
Contains genes of Mouse Muscle Bayesian Network (MMBN).
Format: XLSX Size: 1.2MB Download file
Additional file 7:
Contains Key Driver network analysis results.
Format: XLSX Size: 25KB Download file
Additional file 8:
Contains DAVID analyses results in DE and LSRN gene sets.
Format: XLSX Size: 489KB Download file