Methods in Computational Biology
Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics dat...
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| Үндсэн зохиолчид: | , |
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| Формат: | Online |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Нөхцлүүд: | |
| Онлайн хандалт: | 35889 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869515905037238272 |
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| author | Carlson, Ross Sauro, Herbert |
| author_browse | Carlson, Ross Sauro, Herbert |
| author_facet | Carlson, Ross Sauro, Herbert |
| author_sort | Carlson, Ross |
| collection | Directory of Open Access Books |
| description | Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement |
| format | Online |
| id | doab-20.500.12854ir-53322 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-533222024-03-30T12:51:01Z Methods in Computational Biology Carlson, Ross Sauro, Herbert T58.5-58.64 n/a inosine immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement 2021-02-11T19:26:58Z 2021-02-11T19:26:58Z 2019-08-28 11:21:27 2019 book 35889 9783039211630 9783039211647 https://directory.doabooks.org/handle/20.500.12854/53322 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1403 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-164-7 10.3390/books978-3-03921-164-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039211630 9783039211647 214 open access |
| spellingShingle | T58.5-58.64 n/a inosine immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Carlson, Ross Sauro, Herbert Methods in Computational Biology |
| title | Methods in Computational Biology |
| title_full | Methods in Computational Biology |
| title_fullStr | Methods in Computational Biology |
| title_full_unstemmed | Methods in Computational Biology |
| title_short | Methods in Computational Biology |
| title_sort | methods in computational biology |
| topic | T58.5-58.64 n/a inosine immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | T58.5-58.64 n/a inosine immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | 35889 |
| work_keys_str_mv | AT carlsonross methodsincomputationalbiology AT sauroherbert methodsincomputationalbiology |