I am mainly interested in development of computational methods for elucidating gene regulation and statistical machine learning approaches for analysing next-generation sequencing data.

 

  • Serin A, Vingron M, DeBi: Discovering Differentially Expressed Biclusters using Frequent Itemset Approach, Algorithms for Molecular Biology 2011, 6:18

Details of the algorithm, supplementary data and the c++ source code

 

  • “Medicinal Connectivity Map” (MecoMap), a chemical genomic approach for understanding the molecular role of Chinese medicine by Yuhui Hu, Akdes Serin and Martin Vingron (working paper)

MecoMap database, connectivity scores and enrichment analysis (not publicly available yet)

 

  • Identifying potential modulators of the glucocorticoid receptor by Sebaastian Meijsing, Akdes Serin and Martin Vingron (working project)

 

  • Reprogramming of aged donor-derived fibroblasts rejuvenate mitochondrial-associated functions but can induce chromosomal instability by Alessandro Prigione, Amir Hossini, Bjorn Lichtner, Akdes Serin, Beatrix Fauler, Rudi Lurz, Euenia Makrantonaki, Christis C. Zouboulis, James Adjeye (paper submitted to Plos One, under review)

 

Others:

I have implemented de-novo motif finding algorithm using gibbs sampling. Here you can find the animated videos. [videos]