Project description:Species identification of fragmentary bones remains a challenging task in archeology and forensics. A species identification method for such fragmentary bones that has recently attracted interest is the use of bone collagen proteins. We developed a method similar to DNA barcoding that reads collagen protein sequences in bone and automatically determines the species by performing sequence database searches. We tested our method using bone samples from 30 vertebrate species ranging from mammals to fish.
Project description:A Novel Phylogeny and Revised Classification of Lanternfishes (Myctophiformes) Inferred from Analysis of Ultraconserved Elements, Protein-Coding Genes, and Morphology
Project description:It is often the case that inadequate numbers of biological replicates are utilized in differential gene expression analysis. We describe an easy and effective RNA-seq approach using molecular barcoding to enable profiling a large number of replicates simultaneously. This approach significantly improved the performance of differential gene expression analysis. Using this approach in medaka fish (Oryzias latipes), we discovered novel genes with sexually dimorphic expression, and genes necessary for germ cell development. We appeal that the common practice of using three replicates in differential gene expression analysis should be abandoned.
