title: Leveraging the new with the old: providing a framework for the integration of historic microarray studies with next generation sequencing.
abstract: Next Generation Sequencing (NGS) methods are rapidly providing remarkable advances in our ability to study the molecular profiles of human cancers. However, the scientific discovery offered by NGS also includes challenges concerning the interpretation of large and non-trivial experimental results. This task is potentially further complicated when a multitude of molecular profiling modalities are available, with the goal of a more integrative and comprehensive analysis of the cancer biology.
authors.forename: Michael A
authors.initials: MA
authors.lastname: Bauer
authors.forename: Shweta S
authors.initials: SS
authors.lastname: Chavan
authors.forename: Erich A
authors.initials: EA
authors.lastname: Peterson
authors.forename: Christoph J
authors.initials: CJ
authors.lastname: Heuck
authors.forename: Donald J
authors.initials: DJ
authors.lastname: Johann
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D011518:Proto-Oncogene Proteins / Q000235:genetics; D016283:Proto-Oncogene Proteins p21(ras); D017422:Sequence Analysis, DNA / Q000379:methods; D017423:Sequence Analysis, RNA / Q000379:methods; D012984:Software; D018631:ras Proteins / Q000235:genetics
chemical_list: C117307:KRAS protein, human; D011518:Proto-Oncogene Proteins; D016283:Proto-Oncogene Proteins p21(ras); D018631:ras Proteins