Computational biology: a statistical mechanics perspective
Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and a...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton, Florida
CRC Press
[2020]
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Ausgabe: | Second edition |
Schriftenreihe: | Chapman & Hall/CRC mathematical and computational biology
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts |
Beschreibung: | OCLC-licensed vendor bibliographic record |
Beschreibung: | 1 online resource |
ISBN: | 9780429503672 0429503679 9780429994616 0429994613 9780429994593 0429994591 9780429994609 0429994605 |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Blossey, Ralf |
author_facet | Blossey, Ralf |
author_role | aut |
author_sort | Blossey, Ralf |
author_variant | r b rb |
building | Verbundindex |
bvnumber | BV046620800 |
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discipline | Biologie |
discipline_str_mv | Biologie |
edition | Second edition |
format | Electronic eBook |
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id | DE-604.BV046620800 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:08:07Z |
indexdate | 2024-07-10T08:49:27Z |
institution | BVB |
isbn | 9780429503672 0429503679 9780429994616 0429994613 9780429994593 0429994591 9780429994609 0429994605 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032032532 |
open_access_boolean | |
physical | 1 online resource |
psigel | ZDB-7-TFC |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | CRC Press |
record_format | marc |
series2 | Chapman & Hall/CRC mathematical and computational biology |
spelling | Blossey, Ralf Verfasser aut Computational biology a statistical mechanics perspective Ralf Blossey Second edition Boca Raton, Florida CRC Press [2020] 1 online resource txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC mathematical and computational biology OCLC-licensed vendor bibliographic record Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts SCIENCE / Life Sciences / Biochemistry bisacsh COMPUTERS / General bisacsh COMPUTERS / Computer Graphics / Game Programming & Design bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Biomolecules / Mechanical properties Statistical mechanics Computational biology Netzwerk (DE-588)4171529-9 gnd rswk-swf Statistische Mechanik (DE-588)4056999-8 gnd rswk-swf Biomolekül (DE-588)4135124-1 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Statistische Mechanik (DE-588)4056999-8 s Biomolekül (DE-588)4135124-1 s 1\p DE-604 Biologie (DE-588)4006851-1 s Netzwerk (DE-588)4171529-9 s 2\p DE-604 Biostatistik (DE-588)4729990-3 s 3\p DE-604 https://www.taylorfrancis.com/books/9780429503672 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Blossey, Ralf Computational biology a statistical mechanics perspective SCIENCE / Life Sciences / Biochemistry bisacsh COMPUTERS / General bisacsh COMPUTERS / Computer Graphics / Game Programming & Design bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Biomolecules / Mechanical properties Statistical mechanics Computational biology Netzwerk (DE-588)4171529-9 gnd Statistische Mechanik (DE-588)4056999-8 gnd Biomolekül (DE-588)4135124-1 gnd Biostatistik (DE-588)4729990-3 gnd Biologie (DE-588)4006851-1 gnd |
subject_GND | (DE-588)4171529-9 (DE-588)4056999-8 (DE-588)4135124-1 (DE-588)4729990-3 (DE-588)4006851-1 |
title | Computational biology a statistical mechanics perspective |
title_auth | Computational biology a statistical mechanics perspective |
title_exact_search | Computational biology a statistical mechanics perspective |
title_exact_search_txtP | Computational biology a statistical mechanics perspective |
title_full | Computational biology a statistical mechanics perspective Ralf Blossey |
title_fullStr | Computational biology a statistical mechanics perspective Ralf Blossey |
title_full_unstemmed | Computational biology a statistical mechanics perspective Ralf Blossey |
title_short | Computational biology |
title_sort | computational biology a statistical mechanics perspective |
title_sub | a statistical mechanics perspective |
topic | SCIENCE / Life Sciences / Biochemistry bisacsh COMPUTERS / General bisacsh COMPUTERS / Computer Graphics / Game Programming & Design bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Biomolecules / Mechanical properties Statistical mechanics Computational biology Netzwerk (DE-588)4171529-9 gnd Statistische Mechanik (DE-588)4056999-8 gnd Biomolekül (DE-588)4135124-1 gnd Biostatistik (DE-588)4729990-3 gnd Biologie (DE-588)4006851-1 gnd |
topic_facet | SCIENCE / Life Sciences / Biochemistry COMPUTERS / General COMPUTERS / Computer Graphics / Game Programming & Design SCIENCE / Life Sciences / Biology / General Biomolecules / Mechanical properties Statistical mechanics Computational biology Netzwerk Statistische Mechanik Biomolekül Biostatistik Biologie |
url | https://www.taylorfrancis.com/books/9780429503672 |
work_keys_str_mv | AT blosseyralf computationalbiologyastatisticalmechanicsperspective |