ABSTRACT: This archive contains raw reads produced by the Epidemiology and Genomics unit at the Laboratoire National de Santé, mainly on isolates of foodborne pathogens
Project description:The goal of this study, started as a part of the modENCODE project, is to detect and characterize previously unannotated transcripts of the C. elegans genome. This dataset has been imported from the Sequence Read Archive and curated by the WormBase and ArrayExpress teams. It is a subset of study E-MTAB-2683 (SRP00401) and only contains assays on worms not infected by pathogens.
Project description:The sequence read archive (SRA) contains over 52 terabases or 482 billion reads from Drosophila melanogaster (as of June 2018). These data are massively underused by the community and include 14,423 RNA-Seq samples, that is roughly 7 times the size of modENCODE. Currently the major challenge is finding high quality datasets that are suitable for inclusion in new studies. To help the community overcome this hurdle, we re-processed all D. melanogaster RNA-Seq SRA experiments (SRXs) using an identical workflow. This workflow uses a data driven approach to identify technical metadata (i.e., strandedness and layout) for each sample in order to optimize mapping parameters. The workflow generates QC metrics, coverage tracks based on the dm6 assembly, and calculates gene level, junction level, and intergenic counts against FlyBase r6.11. This resource will allow any researcher to visualize browser tracks for any publicly available dataset, quickly identify high quality data sets for use in their own research, and download identically processed counts tables. There is a treasure trove of underused data sitting in the SRA and this work addresses the first challenge to make data integration a common laboratory practice.
