title: An automated method for efficient, accurate and reproducible construction of RNA-seq libraries.
abstract: BACKGROUND
  Integration of RNA-seq expression data with knowledge on chromatin accessibility, histone modifications, DNA methylation, and transcription factor binding has been instrumental for the unveiling of cell-specific local and long-range regulatory patterns, facilitating further investigation on the underlying rules of transcription regulation at an individual and allele-specific level. However, full genome transcriptome characterization has been partially limited by the complexity and increased time-requirements of available RNA-seq library construction protocols.
  
  
  RESULTS
  Use of the SX-8G IP-Star® Compact System significantly reduces the hands-on time for RNA-seq library synthesis, adenylation, and adaptor ligation providing with high quality RNA-seq libraries tailored for Illumina high-throughput next-generation sequencing. Generated data exhibits high technical reproducibility compared to data from RNA-seq libraries synthesized manually for the same samples. Obtained results are consistent regardless the researcher, day of the experiment, and experimental run.
  
  
  CONCLUSIONS
  Overall, the SX-8G IP-Star® Compact System proves an efficient, fast and reliable tool for the construction of next-generation RNA-seq libraries especially for trancriptome-based annotation of larger genomes.
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. tsompana@buffalo.edu.
authors: Maria
authors: M
authors: Tsompana
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. alphy@buffalo.edu.
authors: Sujith
authors: S
authors: Valiyaparambil
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. jbard@buffalo.edu.
authors: Jonathan
authors: J
authors: Bard
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. bjmarzul@buffalo.edu.
authors: Brandon
authors: B
authors: Marzullo
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. njnowak@buffalo.edu.
authors: Norma
authors: N
authors: Nowak
authors: Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA. mjbuck@buffalo.edu.
authors: Michael Joseph
authors: MJ
authors: Buck
mesh_terms: D000818:Animals; D057205:Automation, Laboratory; D020869:Gene Expression Profiling; D015723:Gene Library; D016678:Genome; D059014:High-Throughput Nucleotide Sequencing / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data*; D051379:Mice; D017423:Sequence Analysis, RNA; D059467:Transcriptome