Krishna, A., Biryukov, M., Trefois, C., Antony, P., Hussong, R., Lin, J., Heinäniemi, M., Glusman, G., Köglsberger, S., Boyd, O., van den Berg, B. H. J., Linke, D., Huang, D., Wang, K., Hood, L., Tholey, A., Schneider, R., Galas, D. J., Balling, R., & May, P. (20 December 2014). Systems genomics evaluation of the SH-SY5Y neuroblastoma cell line as a model for Parkinson’s disease. BMC Genomics, 15 (1154). doi:10.1186/1471-2164-15-1154 Peer Reviewed verified by ORBi |
Galhardo, M. S., Sinkkonen, L., Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (December 2014). ChIP-seq profiling of the active chromatin marker H3K4me3 and PPARγ, CEBPα and LXR target genes in human SGBS adipocytes. Genomics Data, 2, 230-236. doi:10.1016/j.gdata.2014.07.002 Peer reviewed |
Galhardo, M. S., Sinkkonen, L., Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (December 2014). Transcriptomics profiling of human SGBS adipogenesis. Genomics Data, 2, 246-248. doi:10.1016/j.gdata.2014.07.004 Peer Reviewed verified by ORBi |
Muller, E., Pinel, N., Laczny, C. C., Hoopmann, M., Narayanasamy, S., Lebrun, L., Roume, H., Lin, J., May, P., Hicks, N., Buschart, A., Wampach, L., Liu, C., Price, L., Gillece, J., Guignard, C., Schupp, J., Vlassis, N., Baliga, ... Wilmes, P. (2014). Community-integrated omics links dominance of a microbial generalist to fine-tuned resource usage. Nature Communications. doi:10.1038/ncomms6603 Peer Reviewed verified by ORBi |
Lin, J., Kreisberg, R., Kallio, A., Dudley, A. M., Nykter, M., Shmulevich, I., May, P., & Autio, R. (24 December 2013). POMO - Plotting Omics analysis results for Multiple Organisms. BMC Genomics, 14 (918). doi:10.1186/1471-2164-14-918 Peer Reviewed verified by ORBi |
Ruusuvuori, P., Lin, J., Shmulevich, I., Nykter, M., Scott, A., Tan, Z., Sorsa, S., & Dudley, A. (2013). Quantitative analysis of colony morphology in yeast. BioTechniques. doi:10.2144/000114123 Peer reviewed |
Galhardo, M. S.* , Sinkkonen, L.* , Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (2013). Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network. Nucleic Acids Research. doi:10.1093/nar/gkt989 Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |