title: Next-Generation Analysis of Deep Sequencing Data: Bringing Light into the Black Box of SELEX Experiments.
abstract: In silico analysis of next-generation sequencing data (NGS; also termed deep sequencing) derived from in vitro selection experiments enables the analysis of the SELEX procedure (Systematic Evolution of Ligands by EXponential enrichment) in an unprecedented depth and improves the identification of aptamers. Besides quality control and optimization of starting libraries, advanced screening strategies for difficult targets or early identification of rare but high quality aptamers which are otherwise lost in the in vitro selection experiments become possible. The high information content of sequence data obtained from selection experiments is furthermore useful for subsequent lead optimization.
authors.affiliation: AptaIT GmbH, Goethestr. 52, 80336, Munich, Germany. michael.blank@aptaIT.de.
authors.forename: Michael
authors.initials: M
authors.lastname: Blank
mesh_terms: D052157:Aptamers, Nucleotide; D019295:Computational Biology / Q000379:methods / Q000592:standards; D015723:Gene Library; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D052156:SELEX Aptamer Technique; D017422:Sequence Analysis, DNA / Q000379:methods / Q000592:standards
chemical_list: D052157:Aptamers, Nucleotide
keywords: Bioinformatics; In silico analysis; NGS; Next generation sequencing; SELEX