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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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (214 p.) |
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Carlson, Ross auth Methods in Computational Biology MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (214 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 English 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 3-03921-163-3 Sauro, Herbert auth |
| language |
English |
| format |
eBook |
| author |
Carlson, Ross |
| spellingShingle |
Carlson, Ross Methods in Computational Biology |
| author_facet |
Carlson, Ross Sauro, Herbert |
| author_variant |
r c rc |
| author2 |
Sauro, Herbert |
| author2_variant |
h s hs |
| author_sort |
Carlson, Ross |
| 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_auth |
Methods in Computational Biology |
| title_new |
Methods in Computational Biology |
| title_sort |
methods in computational biology |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2019 |
| physical |
1 electronic resource (214 p.) |
| isbn |
3-03921-164-1 3-03921-163-3 |
| illustrated |
Not Illustrated |
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AT carlsonross methodsincomputationalbiology AT sauroherbert methodsincomputationalbiology |
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(CKB)4920000000094778 (oapen)https://directory.doabooks.org/handle/20.500.12854/53322 (EXLCZ)994920000000094778 |
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Methods in Computational Biology |
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