Long noncoding RNAs (lncRNAs) are emerging as a class of important regulators participating in various biological functions and disease processes. With the widespread application of next-generation sequencing technologies, large numbers of lncRNAs have been identified, producing plenty of lncRNA annotation ...
Read More »Co-LncRNA – investigating the lncRNA combinatorial effects in GO annotations and KEGG pathways based on human RNA-Seq data
Long non-coding RNAs (lncRNAs) are emerging as key regulators of diverse biological processes and diseases. However, the combinatorial effects of these molecules in a specific biological function are poorly understood. Identifying co-expressed protein-coding genes of lncRNAs would provide ample insight ...
Read More »Predicting the Functions of Long Noncoding RNAs Using RNA-Seq
Long noncoding RNAs (lncRNAs) have been shown to play key roles in various biological processes. However, functions of most lncRNAs are poorly characterized. Here, researchers from Harbin Medical University present a framework to predict functions of lncRNAs through construction of ...
Read More »PD_NGSAtlas – a reference database combining next-generation sequencing epigenomic and transcriptomic data for psychiatric disorders
Psychiatric disorders such as schizophrenia (SZ) and bipolar disorder (BP) are projected to lead the global disease burden within the next decade. Several lines of evidence suggest that epigenetic- or genetic-mediated dysfunction is frequently present in these disorders. To date, ...
Read More »Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series
RNA-Seq is emerging as an increasingly important tool in biological research, and it provides the most direct evidence of the relationship between the physiological state and molecular changes in cells. A large amount of RNA-Seq data across diverse experimental conditions ...
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