title: New insights from existing sequence data: generating breakthroughs without a pipette.
abstract: With the rapidly declining cost of data generation and the accumulation of massive data sets, molecular biology is entering an era in which incisive analysis of existing data will play an increasingly prominent role in the discovery of new biological phenomena and the elucidation of molecular mechanisms. Here, we discuss resources of publicly available sequencing data most useful for interrogating the mechanisms of gene expression. Existing next-generation sequence data sets, however, come with significant challenges in the form of technical and bioinformatic artifacts, which we discuss in detail. We also recount several breakthroughs made largely through the analysis of existing data, primarily in the RNA field.
authors: Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT 06030, USA.
authors: Alex M
authors: AM
authors: Plocik
authors: Brenton R
authors: BR
authors: Graveley
mesh_terms: D000818:Animals; D001483:Base Sequence; D019295:Computational Biology; D057225:Data Mining; D014644:Genetic Variation; D016678:Genome; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D058977:Molecular Sequence Annotation; D008969:Molecular Sequence Data; D017422:Sequence Analysis, DNA