title: Functional profiling methods in cancer.
abstract: The introduction of new high-throughput methodologies such as DNA microarrays constitutes a major breakthrough in cancer research. The unprecedented amount of data produced by such technologies has opened new avenues for interrogating living systems although, at the same time, it has demanded of the development of new data analytical methods as well as new strategies for testing hypotheses. A history of early successful applications in cancer boosted the use of microarrays and fostered further applications in other fields. Keeping the pace with these technologies, bioinformatics offers new solutions for data analysis and, what is more important, permits the formulation of a new class of hypotheses inspired in systems biology, more oriented to pathways or, in general, to modules of functionally related genes. Although these analytical methodologies are new, some options are already available and are discussed in this chapter.
authors.affiliation: Bioinformatics Department, Centro de Investigación Príncipe Felipe, Valencio, Spain.
authors.forename: Joaquín
authors.initials: J
authors.lastname: Dopazo
mesh_terms: D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D008040:Genetic Linkage; D005838:Genotype; D006801:Humans; D008967:Molecular Biology / Q000379:methods; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism*; D009690:Nucleic Acid Conformation; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D049490:Systems Biology / Q000379:methods