Project description:The Mouse Genomes Project ( http://www.sanger.ac.uk/science/data/mouse-genomes-project ) uses using next-generation sequencing technologies to catalogue molecular variation in the common laboratory mouse strains, and a selected set of wild-derived inbred strains. Access to complete sequence of multiple inbred strains will add to these resources and will become a permanent foundation for a systems biology approach to phenotypic variation in the mouse. In this particular study, we have sequenced the transcriptome of whole-brain tissue from 16 laboratory mouse strains to examine differences in gene expression levels, differential RNA-editing, and for use in de novo gene prediction.
Project description:This dataset was utilized to assess the performance of a novel de novo metaproteomics pipeline, which performs sequence alignment of de novo sequences from complete metaproteomics experiments. Traditionally, metaproteomics data annotation relies on database searching that requires sample-specific databases derived from whole metagenome sequencing experiments. Creating these databases, however, is a complex, time-consuming, and error prone process, which can introduce biases affecting the outcomes and conclusions, highlighting the need for alternative methods. The evaluated approach offers rapid and orthogonal insights into metaproteomics data.