Non-coding RNAs were shown to represent an important layer of gene expression regulation, however with many challenges in the related data analysis. The thesis will mainly focus on the role of non-coding RNAs (ncRNAs) in the regulation of gene expression in malignant B cells. The student will primarily focus on the analysis of data for long non-coding RNAs (lncRNAs) expression obtained by Next-generation sequencing (NGS) technique in chronic lymphocytic leukemia (CLL) samples. This will include bioinformatic analysis of potential function of lncRNAs as regulators of gene networks (especially their potential role as competing endogenous RNA). It has been recently shown, that competing endogenous RNAs can regulate other RNA transcripts by competing for binding sites of small non-coding RNAs, namely microRNAs. The student will i) Create database of all available lncRNAs ii) Analyze their expression in NGS data iii) Analyze and integrate the expressions of lncRNAs, mRNA and microRNAs iv) Find possible lncRNA-miRNA interactions.