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| 001 | 100951 | ||
| 003 | ESmaUEC | ||
| 005 | 20230102113019.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 180316s2018 gw | s |||| 0|eng d | ||
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_a9783319723778 _9 |
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| 024 | 7 |
_a10.1007/978-3-319-72377-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 050 | 4 | _aQH324.2 2018 EB | |
| 100 | 1 |
_aMias, George _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aMathematica for Bioinformatics : _bA Wolfram Language Approach to Omics _cby George Mias. |
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (XVI, 384 páginas 175 ilustraciones,156 ilustraciones a color) | ||
| 336 |
_aTexto _btxt _2rdacontent |
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| 347 |
_atext file _bPDF _2 |
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| 505 | 0 | _a1 Introduction to Bioinformatics -- 2. A Mathematica Primer for Bioinformaticians -- 3. Statistics for Genomic Analysis -- 4. Genomic Sequences -- 5. Databases -- 6. Transcriptomics -- 7. Proteomics -- 8. Metabolomics -- 9. Systems Biology -- 10. Networks -- 11. Time Series Analysis -- 12. Omics Integration and Systems Medicine -- 13. Bioinformatics Development with Mathematica. | |
| 520 | 3 | _aThis book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, and differential gene expression, to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to include the Wolfram Language. | |
| 650 | 7 |
_aBiología _2embne _9138150 |
|
| 650 | 7 |
_aMetabolismo _2embne _9138638 |
|
| 710 | 2 |
_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996 |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319723761 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319723785 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72377-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aBiomedical and Life Sciences (Springer-11642) | |
| 942 | _2lcc | ||
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_aSI _b02/2019 _cm _dz _ep _feng _ggw _h0 |
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| 999 |
_c100951 _d100951 _x1 |
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