000 04339nam a22003975i 4500
001 287307
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008 150903s2013 xxu| o |||| 0|eng d
020 _a9781441998637
_99781441998637
024 7 _a10.1007/9781441998637
_2doi
035 _avtls000339450
039 9 _a201509030316
_bVLOAD
_c201404300400
_dVLOAD
_y201402060935
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQH301-705
100 1 _aDubitzky, Werner.
_eeditor.
_9304502
245 1 0 _aEncyclopedia of Systems Biology /
_cedited by Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _axLvii, 2367 páginas 830 ilustraciones, 530 ilustraciones en color. eReference.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aApplications in drug discovery -- Aritificial life -- Artificial intelligence and machine learning -- Cancer -- Cell cycle -- Computational microRNA biology -- Functional imaging -- Gene regulatory networks: modeling, reconstruction and analysis -- Large-scale and high-performance computing -- Mathematical theory and methods -- Metabolic networks -- Model databases -- Philosophical and foundational issues -- Quantitative experiment design -- Resources -- Single cell experiments -- Standards, exchange formats, guidelines and ontologies -- Statistical theory and methods -- Structural network analysis -- Systems approaches to translational biomedical research: focus on diagnostic and prognostic applications -- Systems immunology -- Text mining -- Toponomics -- Transcriptional regulation -- Translational control and systems biology.
520 _aSystems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole. Systems biology involves the development and application of systems theory concepts for the study of complex biological systems through iteration over mathematical modeling, computational simulation and biological experimentation. Systems biology could be viewed as a tool to increase our understanding of biological systems, to develop more directed experiments, and to allow accurate predictions.  The Encyclopedia of Systems Biology is conceived as a comprehensive reference work covering all aspects of systems biology, in particular the investigation of living matter involving a tight coupling of biological experimentation, mathematical modeling and computational analysis and simulation. The main goal of the Encyclopedia is to provide a complete reference of established knowledge in systems biology – a ‘one-stop shop’ for someone seeking information on key concepts of systems biology. As a result, the Encyclopedia comprises a broad range of topics relevant in the context of systems biology. The audience targeted by the Encyclopedia includes researchers, developers, teachers, students and practitioners who are interested or working in the field of systems biology. Keeping in mind the varying needs of the potential readership, we have structured and presented the content in a way that is accessible to readers from wide range of backgrounds. In contrast to encyclopedic online resources, which often rely on the general public to author their content, a key consideration in the development of the Encyclopedia of Systems Biology was to have subject matter experts define the concepts and subjects of systems biology.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWolkenhauer, Olaf.
_eeditor.
_9315609
700 1 _aCho, Kwang-Hyun.
_eeditor.
_9316420
700 1 _aYokota, Hiroki.
_eeditor.
_9316421
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441998620
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-9863-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c287307
_d287307