title: RNA-Seq in the Collaborative Cross.
abstract: The Collaborative Cross (CC) is a large panel of inbred mouse strains currently being developed for multiple areas of research. Scientists are taking integrated omics-style approaches to collecting data in order to obtain a deeper understanding of the biological mechanisms underlying a number of diverse disease phenotypes. As the cost of the next generation sequencing (NGS) decreases, RNA-sequencing (RNA-seq) has become the favored approach to transcriptomic analyses versus microarrays due to increases in sensitivity and resolution. This is particularly the case with newly defined genomes, where experimental annotation has not caught up to the new microarray platforms. Traditional RNA-seq approaches are not ideal when working with results from collaborative cross studies, as the genomes across individual strains differ considerably. In this chapter we will provide an overview of how to effectively perform RNA-seq analysis from data obtained from the CC mice.
authors.affiliation: Department of Immunology, Center for Innate Immunity and Immune Disease, University of Washington School of Medicine, 750 Republican St., Seattle, WA, 98109, USA. greener@uw.edu.
authors.forename: Richard
authors.initials: R
authors.lastname: Green
authors.affiliation: Department of Immunology, Center for Innate Immunity and Immune Disease, University of Washington School of Medicine, 750 Republican St., Seattle, WA, 98109, USA.
authors.forename: Courtney
authors.initials: C
authors.lastname: Wilkins
authors.affiliation: Department of Genetics, University of North Carolina at Chapel Hill, 5000 D, Genetic Medicine Bldg., CB#7264, 120 mason Farm Road, Chapel Hill, NC, 27599, USA.
authors.forename: Martin T
authors.initials: MT
authors.lastname: Ferris
authors.affiliation: Department of Immunology, Center for Innate Immunity and Immune Disease, University of Washington School of Medicine, 750 Republican St., Seattle, WA, 98109, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Gale
mesh_terms: D000818:Animals; D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods*; D003433:Crosses, Genetic; D016678:Genome; D023281:Genomics / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D051379:Mice; D008815:Mice, Inbred Strains; D011544:Pseudogenes; D017423:Sequence Analysis, RNA; D012984:Software; D064878:Web Browser
keywords: Analysis tools; Collaborative Cross; RNAseq