Manuel Luypaert

TL;DR: It is proposed that careful validation is warranted when evaluating RNA-seq based expression profiles for this specific gene set and a significant proportion of these method-specific inconsistent genes were reproducibly identified in independent datasets.

TL;DR: A broad overview of the current state of WormBase in terms of data type, curation workflows, analysis, and tools, including exciting new advances for analysis of single-cell data, text mining and visualization, and the new community collaboration forum are provided.

TL;DR: The Alliance has harmonized cross-organism data to provide useful comparative views of gene function, gene expression, and human disease relevance and expects other existing and emerging knowledge bases to join in the effort to provide the union of useful data and features that each knowledge base currently provides.

TL;DR: DecodeRNA as mentioned in this paper provides functional contexts for both human lncRNAs and microRNAs in 29 cancer and 12 normal tissue types with state-of-the-art data mining and visualization options, easy access to results and a straightforward user interface.

TL;DR: This study shows that mRNA capture sequencing enhances the detection rate of pathognomonic fusions and enables the identification of novel and secondary fusion transcripts in sarcomas.