| 000 | 02831nas a22003495i 4500 | ||
|---|---|---|---|
| 001 | 2095-4697 | ||
| 003 | DE-He213 | ||
| 005 | 20260610082455.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150723s||||||||cc uu poo|||||| b|EN |d | ||
| 022 | _a2095-4697 | ||
| 024 | 7 |
_a40484 _2local |
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| 210 | 1 | 0 | _aQuant Biol |
| 245 | 1 | 0 |
_aQuantitative Biology _h[electronic resource] / _cedited by Chao Tang, Michael Q. Zhang. |
| 264 | 1 |
_aBeijing : _bHigher Education Press : _bImprint: Higher Education Press, co-published with Springer. |
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| 300 | _bonline resource. | ||
| 520 | _aQuantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers, in order to promote rapid communications among scientists. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles. . | ||
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aBiomathematics. | |
| 650 | 1 | 4 | _aBioinformatics. |
| 650 | 2 | 4 | _aComputational and Systems Biology. |
| 650 | 2 | 4 | _aComputational and Systems Biology. |
| 650 | 2 | 4 | _aMathematical and Computational Biology. |
| 700 | 1 |
_aTang, Chao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aZhang, Michael Q. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 776 | 0 | 8 |
_iPrinted version: _x2095-4689 |
| 856 | 4 | 0 |
_uhttp://link.springer.com/journal/40484 _zHybrid |
| 999 |
_c1839 _d1839 |
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