Back
  1. Home
  2. Profile of Jake LIN (Unilu)
Profil

LIN Jake

Main Referenced Co-authors
GALHARDO, Mafalda Sofia  (3)
MAY, Patrick  (3)
SAUTER, Thomas  (3)
SINKKONEN, Lasse  (3)
Berninger, Philipp (2)
Main Referenced Keywords
Association (1); Colony morphology (1); Genome-wide (1); Genomics (1); Image analysis (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (6)
ULHPC - University of Luxembourg: High Performance Computing (2)
Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Machine Learning (Vlassis Group) (1)
Main Referenced Disciplines
Genetics & genetic processes (3)
Life sciences: Multidisciplinary, general & others (2)
Biochemistry, biophysics & molecular biology (1)
Biotechnology (1)
Environmental sciences & ecology (1)

Publications (total 7)

The most downloaded
888 downloads
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 https://hdl.handle.net/10993/19379

The most cited

147 citations (OpenAlex)

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 https://hdl.handle.net/10993/19379

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.

Contact ORBilu