Open Access Research article

Resolving candidate genes of mouse skeletal muscle QTL via RNA-Seq and expression network analyses

Arimantas Lionikas1*, Caroline Meharg23, Jonathan MJ Derry4, Aivaras Ratkevicius1, Andrew M Carroll1, David J Vandenbergh56 and David A Blizard7

Author Affiliations

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

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BMC Genomics 2012, 13:592  doi:10.1186/1471-2164-13-592

Published: 5 November 2012

Additional files

Additional file 1:

Contains RNA-Seq results.

Format: XLSX Size: 5.5MB Download file

Open Data

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

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Additional file 3:

Contains DexSeq analysis results.

Format: XLSX Size: 87KB Download file

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Additional file 4:

Contains identified SNPs.

Format: XLSX Size: 466KB Download file

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Additional file 5:

Contains identified Indels.

Format: XLSX Size: 19KB Download file

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Additional file 6:

Contains genes of Mouse Muscle Bayesian Network (MMBN).

Format: XLSX Size: 1.2MB Download file

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Additional file 7:

Contains Key Driver network analysis results.

Format: XLSX Size: 25KB Download file

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Additional file 8:

Contains DAVID analyses results in DE and LSRN gene sets.

Format: XLSX Size: 489KB Download file

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