title: Path-based systems to guide scientists in the maze of biological data sources.
abstract: Fueled by novel technologies capable of producing massive amounts of data for a single experiment, scientists are faced with an explosion of information which must be rapidly analyzed and combined with other data to form hypotheses and create knowledge. Today, numerous biological questions can be answered without entering a wet lab. Scientific protocols designed to answer these questions can be run entirely on a computer. Biological resources are often complementary, focused on different objects and reflecting various experts' points of view. Exploiting the richness and diversity of these resources is crucial for scientists. However, with the increase of resources, scientists have to face the problem of selecting sources and tools when interpreting their data. In this paper, we analyze the way in which biologists express and implement scientific protocols, and we identify the requirements for a system which can guide scientists in constructing protocols to answer new biological questions. We present two such systems, BioNavigation and BioGuide dedicated to help scientists select resources by following suitable paths within the growing network of interconnected biological resources.
authors.affiliation: Department of Computer and Information Science, University of Pennsylvania, 3330 Walnut St, Philadelphia, PA 19104, USA. sarahcb@seas.upenn.edu
authors.forename: Sarah
authors.initials: S
authors.lastname: Cohen-Boulakia
authors.forename: Susan
authors.initials: S
authors.lastname: Davidson
authors.forename: Christine
authors.initials: C
authors.lastname: Froidevaux
authors.forename: Zoé
authors.initials: Z
authors.lastname: Lacroix
authors.forename: Maria-Esther
authors.initials: ME
authors.lastname: Vidal
mesh_terms: D002468:Cell Physiological Phenomena; D003628:Database Management Systems; D016208:Databases, Factual; D005786:Gene Expression Regulation / Q000502:physiology*; D016247:Information Storage and Retrieval / Q000379:methods*; D008954:Models, Biological; D012107:Research Design; D012586:Science / Q000379:methods; D015398:Signal Transduction / Q000502:physiology*; D012984:Software