Section: New Results
Mining metatranscriptomic data
The team has recently developed the SortMeRNA software, which is a sequence analysis tool for filtering, mapping and OTU-picking NGS reads. The core algorithm is based on approximate seeds and allows for fast and sensitive analyses of nucleotide sequences. In  , we demonstrate a computational technique for filtering ribosomal RNA from total RNA in metatranscriptomic data using it. Additionally, we propose a post-processing pipeline using the latest software tools to conduct further studies on the filtered data, including the reconstruction of mRNA transcripts for functional analyses and phylogenetic classification of a community using the ribosomal RNA. This work is a collaboration with Genoscope.