Biosequence exegesis.
Annotation of large-scale gene sequence data will benefit from comprehensive and consistent application of well-documented, standard analysis methods and from progressive and vigilant efforts to ensure quality and utility and to keep the annotation up to date. However, it is imperative to learn how to apply information derived from functional genomics and proteomics technologies to conceptualize and explain the behaviors of biological systems. Quantitative and dynamical models of systems behaviors will supersede the limited and static forms of single-gene annotation that are now the norm. Molecular biological epistemology will increasingly encompass both teleological and causal explanations.
Boguski
M S
MS
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.
D000818:Animals; D001483:Base Sequence; D003001:Cloning, Molecular; D019295:Computational Biology; D016208:Databases, Factual; D005821:Genetic Techniques; D016678:Genome; D015894:Genome, Human; D016045:Human Genome Project; D006801:Humans; D008967:Molecular Biology; D020543:Proteome; D017422:Sequence Analysis, DNA
D020543:Proteome