Bioinformatics managing scientific data

Life science data integration and interoperability is one of the most challenging problems facing bioinformatics today. In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression pr...

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Detalles Bibliográficos
Otros Autores: Lacroix, Zoe (-), Critchlow, Terence
Formato: Libro electrónico
Idioma:Inglés
Publicado: San Francisco, CA : Morgan Kaufmann Publishers c2003.
Edición:1st edition
Colección:Morgan Kaufmann series in multimedia information and systems.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627077306719
Descripción
Sumario:Life science data integration and interoperability is one of the most challenging problems facing bioinformatics today. In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression profiles, raw sequence traces, single nucleotide polymorphisms, chemical screening data, proteomic data, putative metabolic pathway models, and many others. Unfortunately, scientists are not currently able to easily identify and access this information because of the variety of semantics, interfaces,
Notas:Description based upon print version of record.
Descripción Física:1 online resource (465 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781281078131
9786611078133
9780080527987